Python Developer Jobs in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.</p><p>What You ll Do</p><p>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions.</p><p>What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients.</p><p>What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes.</p><p>Who You ll Work With</p><p>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth.</p><p>The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients.</p><p>Who the position reports to: This position reports to the Data Science Team Manager.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of 5 years of experience in data science or analytics.</li><li>Proficiency in programming languages such as Python and SQL.</li><li>Strong understanding of statistical methods and machine learning techniques.</li><li>Proficiency in advanced deep learning algorithms and GenAI</li><li>Excellent communication and presentation skills.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Company CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems.<br> With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs.<br> Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.<br> About the role We are looking for a hands-on AI Engineer responsible for designing, developing, and operating AI-powered software systems that deliver immediate, real-world value.<br> This role sits at the intersection of software engineering , product engineering , and applied artificial intelligence , with a strong focus on practical implementation rather than research or theoretical model development.<br> As part of CodeNinja’s AI-first operating model , you will leverage LLMs , AI agents , and automation to fundamentally improve how software is built, deployed, and operated.<br> Key Responsibilities Prompt Engineering: Design, test, and optimize complex prompts for accurate financial text and data extraction.<br> Data Visualization: Command generative AI tools and programmatic code to output rich analytics charts.<br> Process Automation: Build autonomous LLM workflows and agents to replace manual reporting processes.<br> Model Customization: Fine-tune or apply RAG (Retrieval-Augmented Generation) to models using financial documentation.<br> Data Processing: Clean, manipulate, and restructure raw financial files into optimized prompt payloads.<br> Experience: 3+ years in AI, data science and software engineering, with practical experience in banking projects.<br> Core Languages: Advanced Python (Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex).<br> AI Tooling: Extensive hands-on experience with commercial LLMs, vector databases, and DataRobot, SAS EG .<br> Why Join Us Work at the forefront of AI-first software engineering , redefining how software is built today.<br> Build real, production-grade AI-enabled systems with measurable impact.<br> Operate with high ownership and autonomy, amplified by powerful AI tools.<br> Collaborate with talented engineers and product leaders in an innovation-driven environment.<br> Be part of a culture that values execution , learning , and engineering excellence .<br> Disclaimer CodeNinja is an equal opportunity employer.<br> We celebrate diversity and are committed to creating an inclusive environment for all employees.<br> All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance.<br> Female and minorities are strongly encouraged and preferred to apply for the role.<br></span> </div>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Key accountabilities & decision ownership</h4> <ul> <li>Provide strong technical support in transmission</li> <li>Ensure proper and timely handling of individual/global complaints related to transmission area</li> <li>Development, report and implementation of enhancement projects and work streams</li> <li>Implement preventive software correction packages on transmission nodes to solve transmission network problems</li> <li>Provide troubleshooting, analysis & problem solution for critical situations</li> <li>24x7 2nd line support on call for transmission network emergencies reported by internal customers, to fix critical problems</li> <li>Attending on site events if needed</li> <li>Implement and report transmission network activities to management for proper follow-up</li> <li>Follow the escalation & reporting procedure in due time</li> <li>Attend all assigned trainings, sessions, or workshops</li> </ul> <h4>Core competencies, knowledge, and experience</h4> <ul> <li>BSc in telecom engineering</li> <li>Minimum 6 years of experience in relevant field</li> <li>Strong IP knowledge, CCNP knowledge is a must (BGP, ISIS, OSPF, MPLS and L3VPN)</li> <li>Good understanding of MW planning basics</li> <li>Good knowledge of MW nodes includes Ericsson, Huawei and SAIE or equivalent</li> <li>Good knowledge of BH nodes/routers: HU or equivalent</li> <li>Good understanding for the GSM/3G/4G network</li> <li>Python programming knowledge is a plus</li> <li>Automation & scripting tools developing experience is a plus</li> <li>Good communication/management skills</li> </ul> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please contact the recruitment team for guidance.</p> <p><strong>Together we can.</strong></p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled IP &amp; Security Solution Architect to lead the design, implementation, and optimisation of secure network solutions across data centre and office environments. This role focuses on ensuring the integrity, confidentiality, and availability of network infrastructure while driving standardisation, harmonisation, and innovation across multiple markets. The individual will play a key role in delivering scalable and secure network architectures that support business-critical services and enable seamless connectivity across Vodafone s global operations.</p><p>What you ll do</p><ul><li>Develop high-level and low-level designs (HLDs and LLDs) for network and security solutions</li><li>Design and optimise network infrastructure to improve performance, scalability, and cost efficiency</li><li>Standardise and modularise configurations to enable consistent implementation across environments</li><li>Deploy secure networks aligned with service and application requirements, including capacity and utilisation planning</li><li>Harmonise LAN, wireless, and office network services across regions</li><li>Implement virtualisation and network segmentation strategies</li><li>Conduct proof-of-concept validations and support testing, auditing, and acceptance activities</li><li>Define and manage test plans, catalogues, and environments while documenting all quality assurance activities</li><li>Collaborate with engineering, operations, and security teams to deliver integrated solutions</li><li>Support tender processes and oversee third-party vendors and partners</li><li>Drive innovation in security networking and promote best practices across teams</li><li>Ensure high-quality documentation aligned with architectural standards</li><li>Contribute to knowledge sharing and capability development within the wider network team</li></ul><p>What skills you will learn</p><ul><li>Advanced network architecture design and optimisation techniques</li><li>End-to-end security solution implementation in enterprise environments</li><li>Automation and scripting for network engineering and operations</li><li>Stakeholder management across global and cross-functional teams</li><li>Best practices in network standardisation, testing, and quality assurance</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Who you are</p><ul><li>Experience working within large-scale IT environments supporting complex network infrastructures</li><li>Strong understanding of IP networking, including protocols, architectures, and hardware</li><li>Expertise in network security technologies such as firewalls, IDS/IPS, PKI, encryption, and authentication frameworks</li><li>Proficiency in automation scripting using languages such as Python or Go</li><li>Experience designing and executing system testing frameworks and documentation</li><li>Familiarity with network management, monitoring, and analysis tools</li><li>Ability to collaborate effectively across cross-functional and multicultural teams</li><li>Understanding of IT service management principles and operational environments</li><li>Knowledge of mobile network operator ecosystems and standard architectures</li><li>Strong communication skills with the ability to translate technical concepts into practical solutions</li></ul><p>Not a perfect fit?</p><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><p></p></section>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology, and transformation.</p> <p>As the largest shared services organization in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry, and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a highly skilled senior test engineer who will play a key role in shaping and executing our testing strategy across critical products and platforms. The individual will design and maintain test plans, lead complex testing activities, and drive continual improvements in automation, quality standards, and engineering practices. This role is ideal for someone who has understanding and hands-on experience of the digital ecosystem (Playwright, API, REST Assured) and knowledge in developments to automate processes.</p> <h4>What you’ll do</h4> <ul> <li>Develop and maintain automation frameworks for Playwright and API solutions.</li> <li>Mentor junior test engineers and promote quality best practices.</li> <li>Design, implement, review, and maintain test strategies, plans, and cases.</li> <li>Lead testing activities for complex features or projects, working closely with developers and product owners.</li> <li>Build, maintain, and execute automated and manual test suites.</li> <li>Conduct performance, regression, functional, and integration testing.</li> <li>Analyze and troubleshoot complex issues, providing clear and actionable defect reports.</li> <li>Ensure comprehensive test coverage through risk-based techniques and impact assessment.</li> <li>Collaborate in Agile/Scrum ceremonies, contributing to planning, reviews, and retrospectives.</li> <li>Continuously improve QA processes, tools, and operational efficiencies.</li> <li>Lead defect triage meetings and partner with development teams to resolve issues.</li> <li>Write and review clean, reusable automation code using OOP principles.</li> </ul> <h4>Who you are</h4> <ul> <li>Bring 3+ years of experience in software testing or quality assurance.</li> <li>Expertise in automation tools including Playwright and API.</li> <li>Experienced with REST API testing tools such as REST Assured.</li> <li>Fluent in English (B2 level or above).</li> <li>Skilled in automation testing.</li> <li>Bachelor’s degree in computer science, electrical engineering, or a related field.</li> <li>Possess strong experience of testing methodologies, tools, and QA processes.</li> <li>Proficient in Agile/Scrum or DevOps environments.</li> <li>Proficient in at least one programming or scripting language (e.g., Python, JavaScript, Java).</li> <li>Strong understanding of unit, integration, system, and user acceptance testing.</li> <li>Familiar with CI/CD tools such as Azure DevOps or GitHub Actions.</li> <li>Knowledge of containerization (Docker) and cloud platforms (AWS, Azure, or GCP) is a plus.</li> <li>Excellent communication, analytical thinking, and problem-solving abilities.</li> <li>Relevant certifications such as ISTQB Foundation or Agile Tester.</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <p>We want you to feel happy and fulfilled at work, without compromising the other things in life that matter to you. There are lots of ways we support this, including hybrid working and generous parental leave. You'll also get four Spirit Days a year to focus on your personal development and wellbeing, plus a host of other great benefits too.</p> <h4>What skills you will learn</h4> <p>(Details about skills to be learned were not provided in the original text.)</p> <h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>We’re looking for a results-driven CRM Marketing Specialist to design, execute, and optimise lifecycle marketing campaigns that engage users across all stages — from onboarding and activation to retention and loyalty.<br><br><br>In this role, you’ll leverage multi-channel marketing automation (email, push, SMS, WhatsApp, and in-app messaging) to deliver personalized, data-driven experiences at scale. You’ll continuously experiment, analyse engagement data, and iterate to maximize impact, using both traditional CRM platforms and emerging technologies.<br> <br> Key Responsibilities<br><ul><li>Develop and execute multi-channel lifecycle campaigns that drive user engagement, retention, and cross-sell opportunities.</li><li>Design and implement data-driven journeys using behavioral triggers, user attributes and predictive models.</li><li>Conduct A/B tests and implement improvements to optimise open rates, click-through rates, conversion rates, and other indicators (KPIs).</li><li>Set up, test and execute complex multi-lingual journeys across email, push, in-app, SMS and WhatsApp. Ensuring all communications are thoroughly tested and on schedule.</li><li>Run SQL queries to build segments and analyse campaign or user data.</li><li>Collaborate closely with marketing, product and data teams, ensuring that all campaigns are planned, scheduled and executed to plan.</li><li>Report on campaign performance and insights to relevant stakeholders, highlighting impact, learnings and recommendations for optimisation.</li><li>Identify and implement process improvements and automation opportunities to enhance efficiency and scalability.</li><li>Stay ahead of CRM, marketing automation, and AI trends, integrating new tools and strategies to elevate campaign performance.</li></ul> <br> Skills, Knowledge &amp; Expertise<br><ul><li>3+ years of proven experience in CRM, lifecycle marketing, or marketing automation.</li><li>Hands-on experience with Customer.io, Braze, MoEngage, Salesforce or similar CRM tools and syntax languages (Liquid tags, AMPscript, Jinja, Java Script etc.)</li><li>Strong working knowledge of HTML/CSS and email development best practices.</li><li>Python, advanced SQL, and strong analytical skills are highly desirable.</li><li>Experience in Vibe coding and building tools using OpenAI, Replit, Anthropic, or similar environments is an advantage.</li><li>Fluency in spoken and written English. Bonus point for Arabic.</li><li>A detail-oriented mindset, curiosity for experimentation, and a passion for leveraging technology to drive marketing impact.</li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for a Senior Data Scientist - AI &amp; ML Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services!<br> About: The Senior Data Scientist - AI &amp; ML Engineer will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.<br> Responsibilities: AI &amp; Machine Learning Development Design, develop, and deploy AI and machine learning solutions that address business needs.<br> Build and implement Agentic AI applications using modern AI frameworks.<br> Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.<br> Optimize models to improve accuracy, scalability, and performance in production environments.<br> Implement model monitoring, drift detection, and retraining strategies.<br> Data Engineering &amp; MLOps Design scalable data pipelines to support machine learning workloads.<br> Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.<br> Develop and maintain ML-focused CI/CD pipelines.<br> Implement model versioning, automated testing, and deployment best practices.<br> Support containerized and cloud-native ML deployments.<br> Cloud &amp; Solution Architecture Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.<br> Architect scalable infrastructure to support enterprise AI applications.<br> Recommend technology solutions aligned with business and technical requirements.<br> Ensure AI solutions meet security, reliability, and performance standards.<br> Collaboration &amp; Leadership Partner with business stakeholders to understand objectives and translate them into technical solutions.<br> Collaborate with cross-functional teams throughout the solution lifecycle.<br> Mentor junior data scientists and ML engineers.<br> Promote best practices in machine learning, software engineering, and MLOps.<br> Stay informed about emerging AI technologies and industry trends.<br> 6-10 years of experience working with complex datasets and solving real-world business problems using AI Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.<br> Strong proficiency in Python, data science and machine learning libraries (e.<br>g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.<br>g. LangChain, LangGraph).<br> Strong command of SQL and experience with large-scale data processing tools (e.<br>g., Spark, Pandas).<br> Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.<br> Skilled in MLOps practices including CI/CD, containerization (e.<br>g. Docker), and orchestration (Kubernetes).<br> Strong command of Git and collaborative development workflows.<br> Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.<br> Fluent in Arabic &amp; English, both spoken and written (German is a plus!<br>) Able to listen to and understand customer needs and articulate them as technical requirements to the team.<br> Strong problem-solving abilities and attention to detail.<br> Strategic thinking with the ability to align data science initiatives with business objectives.<br> Strong leadership and team management skills with the ability to inspire and motivate.<br> Ability to work collaboratively in a team environment.<br> Self-motivated with a strong growth mindset.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <p><span>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the Team</b></p><br><ul><li>The AI team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!<br></li></ul><br><p><b>Responsibilities</b></p><br><ul> <li> <p>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.</p><br> </li> <li> <p>Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</p><br> </li> <li> <p>Identify and propose ML opportunities related to your scope and beyond</p><br> </li> <li> <p>Support with requirements definition and prioritization of ML projects</p><br> </li> <li> <p>Collaborate with cross-functional Engineering and Product teams</p><br> </li> <li> <p>Champion Data Quality as a critical input component to all ML solutions and Analytics</p><br> </li> <li> <p>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</p><br> </li> <li> <p>Utilize Statistical and ML techniques, as appropriate, for model training</p><br> </li> <li> <p>Validate and tune ML models</p><br> </li> <li> <p>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</p><br> </li> <li> <p>Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift</p><br> </li> <li> <p>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</p><br> </li> <li> <p>Maintain and improve technical documentation of delivered solutions</p><br> </li> <li> <p>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</p><br> </li> <li> <p>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</p><br> <br></li> </ul><br><p><b>Key Requirements - Essential</b></p><br><ul> <li><ul> <li> <p><span>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</span></p><br> </li> <li> <p><span>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</span></p><br> </li> <li> <p><span>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</span></p><br> </li> <li> <p><span>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</span></p><br> </li> <li> <p><span>Analytical thinking and problem solving skills</span></p><br> </li> <li> <p><span>Engineering mindset focused towards delivering robust applied data science solutions</span></p><br> </li> <li> <p><span>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</span></p><br> </li> <li> <p><span>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</span></p><br> </li> <li> <p><span>Mastering of the end-to-end (ML) model development lifecycle</span></p><br> </li> <li> <p><span>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</span></p><br> </li> <li> <p><span>Positive attitude and resilience</span></p><br> </li> <li> <p><span>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</span></p><br> </li> <li> <p><span>Internal drive, self-motivation and ability to work independently including own effective project management</span></p><br> </li> </ul><br></li></ul><br><p><b>Nice to have</b></p><br><ul> <li><ul> <li> <p><span>Experience with Financial Services companies</span></p><br> </li> <li> <p><span>Experience working on ML features for Digital Products (apps, websites)</span></p><br> </li> <li> <p><span>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</span></p><br> </li> </ul><br></li></ul><br> </div>

Position: Research Quality Specialist Material Science Type: Short-Term Contract Compensation: $80per approved task Location: Remote Commitment: 20 - 40 hours/week, 4-hour overlap with PSTEngagement Length: 4 weeks Start Date: Immediate<br>Role Responsibilities Design research-grade Material Science problems involving semiconductor materials and molecular modeling Develop computational solutions and scientific coding workflows using Python Create structured problem categories, tags, and difficulty classifications Solve advanced quantitative problems with rigorous scientific accuracy Participate in detailed quality reviews of problems and solutions Collaborate with reviewers and project teams to improve content quality and consistency Contribute to AI evaluation datasets for advanced reasoning systems<br>Requirements PhD or PhD Candidate in Computational Material Science or related domain Strong expertise in semiconductor materials and molecular modeling Published peer-reviewed research work Strong Python programming skills for scientific computing Excellent analytical reasoning and quantitative problem-solving abilities Strong written communication and documentation skills Linked In profile required<br>Application Process Apply/Easy Apply and check email for application form Fill Google form Assessment Link (After shortlisting to be completed within 24 hours)<br><br>Skills: Python, Computational Material science, Semiconductor materials, Molecular modeling

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Backend Engineer to design and deliver next-generation automation solutions powered by Artificial Intelligence and Generative AI. The role focuses on developing Python-driven, cloud-native systems that integrate enterprise platforms, APIs, and large language models to solve complex business challenges at scale. The individual will contribute to shaping automation architecture, supporting AI adoption, and ensuring solutions are secure, scalable, and production-ready.</p><p>What you ll do</p><ul><li>Design, build, and optimise Python-based solutions with a focus on scalability and reliability</li><li>Develop AI-powered automation solutions that combine traditional automation with GenAI and LLM capabilities</li><li>Build and expose secure, reusable APIs to enable integration across enterprise systems</li><li>Collaborate with cross-functional teams, including AI specialists, to develop automation architectures</li><li>Apply system design principles to ensure modular, scalable, and maintainable solutions</li><li>Leverage enterprise automation tools to orchestrate workflows and embed AI into business processes</li><li>Provide technical guidance and contribute to the adoption of best practices in Python and AI-led automation</li><li>Stay updated on advancements in AI, cloud technologies, and automation trends, contributing to innovation initiatives</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Experience in Python development for automation and AI solutions (3-6 years of experience)</li><li>Hands-on exposure to LLMs, prompt engineering, fine-tuning, and inference optimisation</li><li>Strong knowledge of API design and integration within enterprise or cloud environments</li><li>Experience building cloud-native solutions using platforms such as AWS or GCP</li><li>Familiarity with Python frameworks such as FastAPI or LangChain</li><li>Solid understanding of system design, cloud architecture, and scalability patterns</li><li>Experience with automation or orchestration tools is advantageous</li><li>Strong problem-solving abilities and the capability to collaborate with diverse teams</li><li>Experience supporting or mentoring peers is considered beneficial</li></ul><p></p></section>

Looking to advance your career in Business Intelligence? We are looking for a Senior BI Developer with strong hands-on expertise in Python, SQL, and Power BI to join our team! Key Requirements Experience: Minimum 3+ years of hands-on experience as a BI Developer. Core Technical Stack:Advanced SQL (complex querying, optimization, data modeling). Hands-on Python (data manipulation, ETL scripting, automation). Expert-level Power BI (dashboard development, DAX, data transformations). What We Offer Hybrid Work Model (Work-from-home + On-site flexibility) Company Transportation Provided Comprehensive Social & Medical Insurance Competitive compensation & clear career growth opportunities

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions.<br> With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.<br> Role Overview Our client is supporting the development of advanced AI systems by creating the software environments, workflows, and evaluation data required to train and assess autonomous AI agents.<br> We are looking for experienced Python Backend Engineers to develop realistic backend applications, SaaS integrations, and complex software tasks.<br> Depending on the assigned track, engineers will either build full-service backend environments and connectors or create and validate long-horizon AI tasks and evaluation criteria .<br> Strong experience with Python, Docker, backend development, and AI coding tools—particularly Claude Code—is essential .<br> CONTRACT: Freelance contractor, paid per approved task COMMITMENT: Minimum of 1 completed and approved task per day LOCATIONS: Remote PROCESS: Short screening followed by a technical evaluation (Python, Docker) NOTES: Payment is $300 per approved task .<br> The engagement is expected to last 2–3 weeks , with an immediate start.<br> Responsibilities: Build Python backend applications that replicate the functionality of established SaaS platforms.<br> Develop REST APIs, microservices, integrations, and complete backend workflows.<br> Build new SaaS connectors from scratch and adapt existing integrations when required.<br> Perform comprehensive backend testing and integration validation .<br> Verify that connectors accurately reproduce the behavior of the systems they emulate.<br> Analyze software workflows and datasets to identify realistic long-horizon AI tasks.<br> Create representative tasks based on real-world tools, processes, and user interactions.<br> Conduct structured QA to validate task accuracy, realism, and completeness.<br> Write clear evaluation rubrics covering correct, partially correct, and insufficient outcomes.<br> Use Claude Code and other AI coding agents throughout development, testing, and validation.<br> At least 3 years of professional software engineering experience .<br> Strong proficiency in Python and backend frameworks such as FastAPI, Flask, or Django.<br> Proven experience building backend applications, REST APIs, or microservices.<br> Hands-on experience with Docker, Git, and basic software delivery pipelines .<br> Strong practical proficiency with Claude or Claude Code .<br> Experience using AI coding assistants as part of daily software development.<br> Professional written and spoken English .<br> Strong knowledge of software testing, version control, and code-quality practices.<br></span> </div>

Role Summary We are looking for a Backend Developer with 2+ years of experience in backend development using Python or PHP. The candidate will be responsible for building APIs, developing backend services, working with databases, integrating third-party systems, and maintaining scalable web applications. Key Responsibilities Develop, test, and maintain backend applications using Python or PHP. Build and integrate RESTful APIs. Work with databases such as MySQL, Postgre SQL, or Mongo DB. Write clean, reusable, and well-documented code. Debug, troubleshoot, and optimize backend performance. Integrate third-party APIs and external services. Collaborate with frontend developers, QA engineers, designers, and product teams. Implement authentication, authorization, and backend security best practices. Maintain and improve existing backend systems. Participate in code reviews and technical discussions. Required Skills2+ years of backend development experience. Strong experience in Python or PHP. Experience with at least one backend framework, such as:Django, Flask, or Fast API for Python. Laravel, Symfony, or Code Igniter for PHP. Good understanding of RESTful API design and development. Experience with relational databases such as MySQL or Postgre SQL. Basic knowledge of NoSQL databases such as Mongo DB is a plus. Strong understanding of backend architecture and server-side logic. Experience with authentication and authorization methods such as JWT, OAuth, or session-based authentication. Familiarity with Git and version control workflows. Ability to write clean, maintainable, and scalable code. Good debugging and problem-solving skills. Basic understanding of cloud services, deployment, and server environments. Preferred Skills Experience with Docker or containerized development. Familiarity with CI/CD pipelines. Knowledge of message queues such as Rabbit MQ, Redis Queue, or Celery. Experience with caching tools such as Redis or Memcached. Understanding of microservices architecture. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with Linux server environments. Basic understanding of frontend technologies such as HTML, CSS, and Java Script. Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field is preferred. Equivalent practical experience will also be considered. Soft Skills Strong communication and teamwork skills. Ability to work independently and manage tasks effectively. Attention to detail and commitment to code quality. Willingness to learn new technologies and improve existing skills. Ability to work in a fast-paced development environment.

<p>We are seeking a highly skilled Software Engineer with expertise in Python and AWS Cloud to join our dynamic and innovative development team. As a Software Engineer, you will be responsible for designing, developing, and deploying scalable and reliable software solutions using Python and leveraging AWS cloud services. You will collaborate closely with cross-functional teams, including product managers, designers, and fellow engineers, to deliver high-quality software products that meet our customers' needs.</p><p>Responsibilities:</p><ul><li>Design and develop high-quality, efficient, and scalable software applications using Python, adhering to best practices and coding standards.</li><li>Collaborate with the product management team to understand requirements, translate them into technical designs, and participate in the product development lifecycle.</li><li>Write clean, maintainable, and well-documented code, while ensuring the overall quality of the code through code reviews and testing.</li><li>Identify and address performance bottlenecks, debugging issues, and optimizing applications for maximum speed and scalability.</li><li>Stay updated with the latest trends and advancements in Python, AWS and related technologies, and share knowledge and best practices with the team.</li><li>Integrate and utilize AWS services such as Amazon S3, Amazon EC2, Amazon RDS, AWS Lambda, AWS DynamoDB, and others, as required by the application architecture.</li><li>Ensure high performance, availability, and fault tolerance of applications by implementing AWS auto-scaling, load balancing, and monitoring mechanisms.</li><li>Work closely with cross-functional teams, including designers and frontend developers, to ensure seamless integration of backend and frontend components.</li><li>Participate in agile development methodologies, including sprint planning, task estimation, and regular team meetings.</li><li>Mentor and provide technical guidance to junior team members, fostering their professional growth and development.</li><li>Ensure smooth deployment and operation of the software in a cloud-based environment.</li><li>Contribute to the continuous improvement of software development processes, tools, and methodologies.</li><li>Design, integrate, and manage cloud-native applications using a wide range of AWS services, including S3, EC2, RDS (PostgreSQL), Lambda, API Gateway, VPC, IAM, CloudWatch, and CloudFormation, ensuring scalability, security, and high availability.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>+2 years of experience in software engineering or a related role</li><li>Solid understanding of Python programming language and its ecosystem, including frameworks like Scrapy, Django or Flask.</li><li>Good experience with AWS cloud services, including but not limited to Compute : EC2, ECS, Lambda Storage : S3, EFS Databases : RDS, postgresql Developer Tools : CodePipeline, CodeBuild, CodeDeploy Security and Identity : IAM, Secrets Manager Networking : VPC, Load Balancers, API Gateway</li><li>Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes is a plus.</li><li>Extensive experience in designing and developing backend applications, APIs, and web services using Python frameworks</li><li>Proficiency in database systems such as PostgreSQL, MySQL, or MongoDB, and familiarity with ORM (Object-Relational Mapping) frameworks.</li><li>Strong understanding of software development principles, design patterns, and best practices.</li><li>Experience with version control systems, such as Git, and familiarity with collaborative coding workflows.</li><li>Solid understanding of software testing methodologies, including unit testing and integration testing.</li><li>Experience working in an agile development environment and familiarity with agile methodologies (e.g., Scrum, Kanban).</li><li>Excellent problem-solving and analytical skills, with a strong attention to detail.</li><li>Effective communication and collaboration skills, with the ability to work well within a team.</li></ul>

<p>We are seeking a highly skilled Software Engineer with expertise in Python and AWS Cloud to join our dynamic and innovative development team. As a Software Engineer, you will be responsible for designing, developing, and deploying scalable and reliable software solutions using Python and leveraging AWS cloud services. You will collaborate closely with cross-functional teams, including product managers, designers, and fellow engineers, to deliver high-quality software products that meet our customers' needs.</p><p><b><br></b></p><p><b>Responsibilities:</b></p><ul><li>Design and develop high-quality, efficient, and scalable software applications using Python, adhering to best practices and coding standards.</li><li>Collaborate with the product management team to understand requirements, translate them into technical designs, and participate in the product development lifecycle.</li><li>Write clean, maintainable, and well-documented code, while ensuring the overall quality of the code through code reviews and testing.</li><li>Identify and address performance bottlenecks, debugging issues, and optimizing applications for maximum speed and scalability.</li><li>Stay updated with the latest trends and advancements in Python, AWS and related technologies, and share knowledge and best practices with the team.</li><li>Integrate and utilize AWS services such as Amazon S3, Amazon EC2, Amazon RDS, AWS Lambda, AWS DynamoDB, and others, as required by the application architecture.</li><li>Ensure high performance, availability, and fault tolerance of applications by implementing AWS auto-scaling, load balancing, and monitoring mechanisms.</li><li>Work closely with cross-functional teams, including designers and frontend developers, to ensure seamless integration of backend and frontend components.</li><li>Participate in agile development methodologies, including sprint planning, task estimation, and regular team meetings.</li><li>Mentor and provide technical guidance to junior team members, fostering their professional growth and development.</li><li>Ensure smooth deployment and operation of the software in a cloud-based environment.</li><li>Contribute to the continuous improvement of software development processes, tools, and methodologies.</li><li>Design, integrate, and manage cloud-native applications using a wide range of AWS services, including S3, EC2, RDS (PostgreSQL), Lambda, API Gateway, VPC, IAM, CloudWatch, and CloudFormation, ensuring scalability, security, and high availability.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Software Engineering, or a related field.</p><p>+2 years of experience in software engineering or a related role</p><p>Solid understanding of Python programming language and its ecosystem, including frameworks like Scrapy, Django or Flask.</p><p>Good experience with AWS cloud services, including but not limited to Compute : EC2, ECS, Lambda Storage : S3, EFS Databases : RDS, postgresql Developer Tools : CodePipeline, CodeBuild, CodeDeploy Security and Identity : IAM, Secrets Manager Networking : VPC, Load Balancers, API Gateway</p><p>Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes is a plus.</p><p>Extensive experience in designing and developing backend applications, APIs, and web services using Python frameworks</p><p>Proficiency in database systems such as PostgreSQL, MySQL, or MongoDB, and familiarity with ORM (Object-Relational Mapping) frameworks.</p><p>Strong understanding of software development principles, design patterns, and best practices.</p><p>Experience with version control systems, such as Git, and familiarity with collaborative coding workflows.</p><p>Solid understanding of software testing methodologies, including unit testing and integration testing.</p><p>Experience working in an agile development environment and familiarity with agile methodologies (e.g., Scrum, Kanban).</p><p>Excellent problem-solving and analytical skills, with a strong attention to detail.</p><p>Effective communication and collaboration skills, with the ability to work well within a team.</p>

Position: Computational Mathematics Research Specialist Type: Short-Term Contract (8 Weeks) Compensation: $80 per approved task Location: Remote Commitment: 8 Hours per Day with 4 Hours Overlap with PSTStart Date: Immediate<br>Role Responsibilities Develop and author research-grade computational mathematics problems using scientific coding and Python Create graduate-level quantitative reasoning and computational problem-solving tasks Define problem categories, difficulty levels, and relevant classifications Develop accurate and logically rigorous solutions using mathematical and computational methods Review and validate the accuracy and quality of mathematical problems and solutions Collaborate with reviewers and project teams to refine content and maintain quality standards Ensure all solutions are scientifically accurate, reproducible, and well documented<br>Requirements PhD or PhD Candidate in Computational Mathematics, Numerical Linear Algebra, Computational Mechanics, or related fields At least one published peer-reviewed research paper Strong analytical thinking and mathematical problem-solving abilities Excellent written and verbal communication skills Ability to work independently in a remote environment Linked In profile is mandatory Advanced proficiency in Python for scientific computing preferred Experience with numerical methods, mathematical modeling, simulation, or computational research preferred Prior experience in academic research, scientific publishing, or advanced mathematical problem design preferred<br>Application Process Apply/Easy Apply and check email for application form Complete the Application Form shared by the recruitment team Shortlisted candidates will receive the assessment link for evaluation Candidates who successfully clear the assessment process will be contacted regarding pre-onboarding requirements<br><br>Skills: Python, computational Mechanics, Computational Math, Numerical linear algebra

<p>Envision Employment Solutions is currently looking for a Senior Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting &amp; Technology Services !</p><p><strong>Objective:</strong> We are seeking an experienced Senior Gen AI/Agentic AI Full Stack Lead to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development. In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models. You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.</p><p><strong>Responsibilities:</strong></p><ul><li>Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.</li><li>Proven hands-on Gen AI / Agentic AI and data science with machine learning</li><li>Strong knowledge of Python</li><li>Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.</li><li>Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure</li><li>Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.</li><li>Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.</li><li>Experience with data gathering, data quality, system architecture, coding best practices</li><li>Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).</li><li>Experience with Lean / Agile development methodologies</li><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li><li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li><li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li><li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li><li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li><li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li><li>Strong understanding of LLM fine-tuning, local deployment of open source models</li><li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li><li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li><li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li><li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li><li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li><li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li><li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li><li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li><li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li><li>Strong understanding of LLM fine-tuning, local deployment of open source models</li><li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li><li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li><li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li><li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul>

Role: Research Quality Specialist Computational Math (Task Based) Type: Short-Term Contract (8 weeks) Compensation: $80 per approved task Task Duration: Complex tasks are expected to take approximately 4 hours each Location: Remote Start Date: Immediate Work Schedule: 8 hours/day with a minimum 4-hour overlap with PST<br>Role Overview:We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.<br>What You'll Work On:Develop original graduate-level or research-grade scientific problems involving scientific coding/programming using Python. Define problem categories, secondary tags, and assign appropriate difficulty levels. Solve formulated problems with complete logical consistency, reliability, and accuracy. Participate in detailed two-tier quality reviews for both problems and solutions. Collaborate closely with reviewers and project leads to refine content quality and improve evaluation standards.<br>Who This Is For:PhD holders or PhD candidates in Computational Mathematics (Numerical Linear Algebra and Computational Mechanics preferred). Candidates who have published at least one peer-reviewed research paper. Strong proficiency in Python programming for scientific computing. Excellent analytical reasoning, logical thinking, and advanced problem-solving abilities. Strong written and verbal communication skills for technical documentation and collaboration. Candidates with an active Linked In profile (mandatory).<br>Application Process:Apply via Easy Apply Receive Role Details & Google Form via Email Assessment Link (After shortlisting to be completed within 24 hours)<br><br>Skills: Python, computational Mechanics, Computational Math, Numerical linear algebra

<p>Join the dynamic Global Operations Excellence (GOE) team, where innovation meets impact. We're at the forefront of developing cutting-edge solutions that drive efficiency and intelligence across Siemens Digital Industries Software. As part of our team, you'll contribute to exciting projects enhancing our operational insights and automation, streamlining processes across teams. We foster a collaborative environment where creativity is encouraged, and your contributions directly shape the future of our digital landscape. Your responsibilities will include management of our active platform initiatives including our Command Center, providing full visibility of our environment and services as a single pane of glass. Also, our full-stack AI infrastructure operations platform including a chat bot and our end-to-end budget tracking system amongst other projects. You will be responsible for the health, design, implementation, and production reliability of the platforms.</p><p>Key Responsibilities</p><p>As a Full Stack Developer, your responsibilities will include:</p><ul><li>Platform accountability: Take technical accountability for maintaining, evolving, and operating production platform initiatives, with readiness to absorb additional initiatives in the future.</li><li>Backend Services: Design, implement, and operate platform components using Python, with an emphasis on reliability, performance, and long-term maintainability.</li><li>AI Agent Development: maintain AI agents using Python, working with LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows. Design agents that support infrastructure workflows such as VM provisioning, troubleshooting, incident triage, and operational recommendations.</li><li>APIs &amp; Integrations: Build and evolve APIs and integration services for internal and external consumers. Integrate with cloud, virtualization, monitoring, ITSM, and infrastructure systems.</li><li>Full-Stack Command Center Development: Maintain web applications using React, Next.js, FastAPI, and TypeScript.</li><li>System Design: Contribute to architecture discussions, evaluating trade-offs between simplicity, scalability, and operational complexity.</li><li>Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, observability, and deployment workflows.</li><li>Automation &amp; CI/CD: Maintain, and optimize CI/CD pipelines to automate delivery, testing, and deployment processes.</li><li>Code Quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation.</li><li>AI Risk Management: Monitor agent accuracy, failures, latency, cost, and user feedback. Manage AI risks such as hallucinations, unsafe recommendations, prompt injection, and unauthorized actions.</li><li>Production Support: Own incident triage, troubleshooting, and resolution for all Platforms.</li></ul><p>Skills Required (Non-Technical)</p><ul><li>Proven ability to own and deliver complex features from design through production.</li><li>Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly.</li><li>Ability to work effectively in a collaborative, global, agile environment.</li></ul><p>Skills Required (Technical)</p><p>Python Backend &amp; Platform Engineering</p><ul><li>Strong Python development experience at a senior level.</li><li>Experience building APIs using FastAPI.</li><li>Experience designing backend services for agent execution, workflows, infrastructure actions, and integrations.</li><li>Experience building background jobs, queues, schedulers, and automation workflows.</li><li>Ability to write reliable, testable, maintainable code and debug production issues.</li></ul><p>AI Agent &amp; LLM Application Development</p><ul><li>Experience building and maintaining AI agents using Python.</li><li>Working knowledge of LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows.</li><li>Experience using internal documentation, runbooks, logs, tickets, and knowledge bases for retrieval-augmented responses.</li></ul><p>React / TypeScript Full-Stack Development</p><ul><li>Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns.</li><li>Strong focus on developer experience and maintainable, scalable frontend codebases.</li><li>Experience integrating frontend applications with Python backend APIs.</li></ul><p>Infrastructure &amp; Cloud Operations</p><ul><li>Experience with cloud platforms, primarily AWS.</li><li>Understanding of virtualization platforms, infrastructure APIs, and infrastructure-as-code concepts.</li><li>Experience with monitoring, logging, alerting, and operational runbooks.</li></ul><p>Cloud &amp; DevOps</p><ul><li>Experience with CI/CD pipelines.</li><li>Experience with containerization and orchestration using Docker and Kubernetes.</li><li>Solid understanding of distributed systems and cloud-native architectures.</li></ul><p>Education &amp; Experience</p><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7 years of professional experience as a Principal engineer or in a similar role.</li></ul><p>Why Join Us?</p><p>We are Siemens: At Siemens Software, flexibility is how we work hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong Python development experience at a senior level.</li><li>Experience building APIs using FastAPI.</li><li>Experience designing backend services for agent execution, workflows, infrastructure actions, and integrations.</li><li>Experience building background jobs, queues, schedulers, and automation workflows.</li><li>Ability to write reliable, testable, maintainable code and debug production issues.</li><li>Experience building and maintaining AI agents using Python.</li><li>Working knowledge of LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows.</li><li>Experience using internal documentation, runbooks, logs, tickets, and knowledge bases for retrieval-augmented responses.</li><li>Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns.</li><li>Strong focus on developer experience and maintainable, scalable frontend codebases.</li><li>Experience integrating frontend applications with Python backend APIs.</li><li>Experience with cloud platforms, primarily AWS.</li><li>Understanding of virtualization platforms, infrastructure APIs, and infrastructure-as-code concepts.</li><li>Experience with monitoring, logging, alerting, and operational runbooks.</li><li>Experience with CI/CD pipelines.</li><li>Experience with containerization and orchestration using Docker and Kubernetes.</li><li>Solid understanding of distributed systems and cloud-native architectures.</li><li>Proven ability to own and deliver complex features from design through production.</li><li>Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly.</li><li>Ability to work effectively in a collaborative, global, agile environment.</li><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7 years of professional experience as a Principal engineer or in a similar role.</li></ul>

<p>Join the dynamic Global Operations Excellence (GOE) team, where innovation meets impact. We're at the forefront of developing cutting-edge solutions that drive efficiency and intelligence across Siemens Digital Industries Software. As part of our team, you'll contribute to exciting projects enhancing our operational insights and automation, streamlining processes across teams. We foster a collaborative environment where creativity is encouraged, and your contributions directly shape the future of our digital landscape. Your responsibilities will include management of our active platform initiatives including our Command Center, providing full visibility of our environment and services as a single pane of glass. Also, our full-stack AI infrastructure operations platform including a chat bot and our end-to-end budget tracking system amongst other projects. You will be responsible for the health, design, implementation, and production reliability of the platforms.</p><p>Key Responsibilities</p><p>As a Full Stack Developer, your responsibilities will include:</p><ul><li>Platform accountability: Take technical accountability for maintaining, evolving, and operating production platform initiatives, with readiness to absorb additional initiatives in the future.</li><li>Backend Services: Design, implement, and operate platform components using Python, with an emphasis on reliability, performance, and long-term maintainability.</li><li>AI Agent Development: maintain AI agents using Python, working with LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows. Design agents that support infrastructure workflows such as VM provisioning, troubleshooting, incident triage, and operational recommendations.</li><li>APIs &amp; Integrations: Build and evolve APIs and integration services for internal and external consumers. Integrate with cloud, virtualization, monitoring, ITSM, and infrastructure systems.</li><li>Full-Stack Command Center Development: Maintain web applications using React, Next.js, FastAPI, and TypeScript.</li><li>System Design: Contribute to architecture discussions, evaluating trade-offs between simplicity, scalability, and operational complexity.</li><li>Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, observability, and deployment workflows.</li><li>Automation &amp; CI/CD: Maintain, and optimize CI/CD pipelines to automate delivery, testing, and deployment processes.</li><li>Code Quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation.</li><li>AI Risk Management: Monitor agent accuracy, failures, latency, cost, and user feedback. Manage AI risks such as hallucinations, unsafe recommendations, prompt injection, and unauthorized actions.</li><li>Production Support: Own incident triage, troubleshooting, and resolution for all Platforms.</li></ul><p>Skills Required (Non-Technical)</p><ul><li>Proven ability to own and deliver complex features from design through production.</li><li>Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly.</li><li>Ability to work effectively in a collaborative, global, agile environment.</li></ul><p>Skills Required (Technical)</p><p>Python Backend &amp; Platform Engineering</p><ul><li>Strong Python development experience at a senior level.</li><li>Experience building APIs using FastAPI.</li><li>Experience designing backend services for agent execution, workflows, infrastructure actions, and integrations.</li><li>Experience building background jobs, queues, schedulers, and automation workflows.</li><li>Ability to write reliable, testable, maintainable code and debug production issues.</li></ul><p>AI Agent &amp; LLM Application Development</p><ul><li>Experience building and maintaining AI agents using Python.</li><li>Working knowledge of LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows.</li><li>Experience using internal documentation, runbooks, logs, tickets, and knowledge bases for retrieval-augmented responses.</li></ul><p>React / TypeScript Full-Stack Development</p><ul><li>Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns.</li><li>Strong focus on developer experience and maintainable, scalable frontend codebases.</li><li>Experience integrating frontend applications with Python backend APIs.</li></ul><p>Infrastructure &amp; Cloud Operations</p><ul><li>Experience with cloud platforms, primarily AWS.</li><li>Understanding of virtualization platforms, infrastructure APIs, and infrastructure-as-code concepts.</li><li>Experience with monitoring, logging, alerting, and operational runbooks.</li></ul><p>Cloud &amp; DevOps</p><ul><li>Experience with CI/CD pipelines.</li><li>Experience with containerization and orchestration using Docker and Kubernetes.</li><li>Solid understanding of distributed systems and cloud-native architectures.</li></ul><p>Education &amp; Experience</p><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7 years of professional experience as a Principal engineer or in a similar role.</li></ul><p>Why Join Us?</p><p>We are Siemens: At Siemens Software, flexibility is how we work hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong Python development experience at a senior level.</li><li>Experience building APIs using FastAPI.</li><li>Experience designing backend services for agent execution, workflows, infrastructure actions, and integrations.</li><li>Experience building background jobs, queues, schedulers, and automation workflows.</li><li>Ability to write reliable, testable, maintainable code and debug production issues.</li><li>Experience building and maintaining AI agents using Python.</li><li>Working knowledge of LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows.</li><li>Experience using internal documentation, runbooks, logs, tickets, and knowledge bases for retrieval-augmented responses.</li><li>Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns.</li><li>Strong focus on developer experience and maintainable, scalable frontend codebases.</li><li>Experience integrating frontend applications with Python backend APIs.</li><li>Experience with cloud platforms, primarily AWS.</li><li>Understanding of virtualization platforms, infrastructure APIs, and infrastructure-as-code concepts.</li><li>Experience with monitoring, logging, alerting, and operational runbooks.</li><li>Experience with CI/CD pipelines.</li><li>Experience with containerization and orchestration using Docker and Kubernetes.</li><li>Solid understanding of distributed systems and cloud-native architectures.</li><li>Proven ability to own and deliver complex features from design through production.</li><li>Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly.</li><li>Ability to work effectively in a collaborative, global, agile environment.</li><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7 years of professional experience as a Principal engineer or in a similar role.</li></ul>