CS Cart Jobs in Egypt

<p>Purpose of the Role The Client Delivery Manager is the single point of accountability for the delivery of a major enterprise software platform to a large utility client. The role owns the client relationship day-to-day, drives contractual milestones through to formal acceptance, and protects both the delivery schedule and the commercial terms of the contract. This is a governance and relationship role, not an engineering one. The post-holder works in partnership with CTO and with a Product Manager who owns scope definition, and with Business Development Director who owns the commercial relationship above the project.</p><p><b>Key Responsibilities</b></p><p>Client Relationship</p><ul><li>Act as the client's primary point of contact for all delivery matters.</li><li>Run the weekly status meeting and issue the written status report and action log.</li><li>Maintain and actively manage the client stakeholder map control centre engineers, IT, procurement, and the executive sponsor.</li><li>Escalate early and in writing. No issue should reach the company first from the client's side.</li></ul><p>Delivery Governance</p><ul><li>Own the master schedule and drive it against contractual milestones.</li><li>Maintain the RAID log (risks, assumptions, issues, dependencies) and review it weekly with the delivery team.</li><li>Coordinate FAT, SAT, UAT, training, and go-live readiness in partnership with the Technical Delivery Lead.</li><li>Chair the bi-weekly steering committee with both executive sponsors.</li></ul><p>Commercial Protection</p><ul><li>Drive milestone acceptance sign-offs, which are the contractual triggers for invoicing.</li><li>Enforce change control: no scope moves without a documented, priced, and signed change request.</li><li>Flag margin risk, schedule slippage, and dependency failures to the Delivery Director before they translate into cost.</li><li>Support Business Development on change order pricing and expansion opportunities.</li></ul><p>Internal Coordination</p><ul><li>Translate client requirements and complaints into work the engineering team can consume.</li><li>Interface with the Product Manager on scope definition and backlog priority, protecting the product roadmap from unmanaged client-specific demands.</li><li>Direct the Project Coordinator on documentation, minutes, trackers, and the invoicing pack.</li><li>Shield the engineering team from unmanaged client interruption.</li></ul><p>Post Go-Live</p><ul><li>Transition the account into support and SLA governance.</li><li>Identify follow-on work and hand qualified opportunities to Business Development.</li></ul><p>Success Measures First 12 Months</p><ul><li>Milestone acceptance sign-offs obtained on or ahead of contractual dates.</li><li>Collections achieved against invoiced milestones.</li><li>Zero unpriced scope delivered.</li><li>Client escalations resolved at project level rather than escalated to executive level.</li><li>Steering committee cadence maintained without slippage.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in engineering, computer science, or a related field.</li><li>Seven or more years in delivery or project management of enterprise software for large organisations.</li><li>Demonstrated experience delivering to Egyptian utility, government, or state-owned clients including procurement culture, approval chains, and formal correspondence.</li><li>Track record of owning contractual milestones through to client acceptance and payment.</li><li>Strong technical literacy: able to read architecture diagrams, interrogate estimates, and recognise when an engineering explanation does not hold.</li><li>Fluent Arabic and English, including formal written reporting (French or German is a plus).</li><li>Exposure to SCADA, EMS, ADMS, or OT environments in any capacity.</li><li>Familiarity with utility control centre operations.</li><li>PMP, PRINCE2, or an equivalent project management qualification.</li><li>Prior experience working with transmission or distribution utilities.</li><li>Comfortable being the person who says no to the client.</li><li>Writes clearly and often the paper trail is part of the job.</li><li>Curious about the technical domain without wanting to do the technical work.</li></ul>

Company Description ETISAL International Group is a leading Business Process Outsourcing (BPO) company serving clients across the Middle and Far East. The organization focuses on delivering customized, consultative, and innovative outsourcing solutions that align with each client’s unique business needs. With strong global coverage and deep cultural understanding, ETISAL International emphasizes best practices and advanced technologies to help partners enhance service quality and focus on their core business. The company is committed to transparency, flexibility, integrity, and a passion for service, consistently working to exceed client expectations. ETISAL International values human capital and seeks team members who contribute to first-class service and continuous operational improvement. Role Description This is a full-time, on-site role based in Cairo for Upselling Customer Support Agents. In this role, team members handle inbound and outbound customer interactions, respond to inquiries, and provide clear, accurate information about products and services. Agents identify customer needs, recommend relevant upgrades or additional services, and guide customers through the upselling process in a consultative and ethical manner. Daily tasks include managing customer accounts, documenting interactions in CRM systems, following up on leads, and meeting individual and team performance targets. The position also involves collaborating with supervisors and colleagues, adhering to company policies and quality standards, and participating in ongoing training to stay updated on offerings and customer service best practices. Qualifications Strong customer service skills, including active listening, empathy, and problem-solving. Effective communication skills, both spoken and written, with the ability to explain offers clearly and persuasively. Sales and upselling abilities, including basic negotiation, objection handling, and closing techniques. Comfort with technology, such as CRM or contact center systems, and basic computer literacy. Ability to work in a fast-paced environment, manage time efficiently, and adapt to changing priorities. Team-oriented mindset, reliability, and a professional attitude when dealing with customers and colleagues. Previous experience in customer support, call centers, or sales is an advantage. High school diploma or equivalent; further education in business, communications, or related fields is beneficial. Availability to work full-time on-site in Cairo, including shift-based schedules if required.

<ul><li><p>Operating systems installation (Windows).</p></li><li><p>Network fundamentals.</p></li><li><p>TCP/IP</p></li><li><p>DNS</p></li><li><p>DHCP</p></li><li><p>LAN &amp; Wi-Fi configuration and troubleshooting.</p></li><li><p>Installing and configuring routers and switches.</p></li><li><p>Troubleshooting hardware and software issues.</p></li></ul><p></p><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p>Bachelor’s degree in Computer Science or a relevant specialization.</p></li><li><p>Technical institute or higher institute.</p></li><li><p>Training courses/certifications:</p></li><li><p>MCSA (Microsoft Certified Solutions Associate)</p></li><li><p>CCNA (Cisco Certified Network Associate)</p></li><li><p>Network+ (N+)</p></li></ul><p></p><p></p><p></p>

<ul><li><p>Operating systems installation (Windows).</p></li><li><p>Network fundamentals.</p></li><li><p>TCP/IP</p></li><li><p>DNS</p></li><li><p>DHCP</p></li><li><p>LAN &amp; Wi-Fi configuration and troubleshooting.</p></li><li><p>Installing and configuring routers and switches.</p></li><li><p>Troubleshooting hardware and software issues.</p></li></ul><p></p><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p>Bachelor’s degree in Computer Science or a relevant specialization.</p></li><li><p>Technical institute or higher institute.</p></li><li><p>Training courses/certifications:</p></li><li><p>MCSA (Microsoft Certified Solutions Associate)</p></li><li><p>CCNA (Cisco Certified Network Associate)</p></li><li><p>Network+ (N+)</p></li></ul><p></p><p></p><p></p>

<ul><li><p>Operating systems installation (Windows).</p></li><li><p>Network fundamentals.</p></li><li><p>TCP/IP</p></li><li><p>DNS</p></li><li><p>DHCP</p></li><li><p>LAN &amp; Wi-Fi configuration and troubleshooting.</p></li><li><p>Installing and configuring routers and switches.</p></li><li><p>Troubleshooting hardware and software issues.</p></li></ul><p></p><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p>Bachelor’s degree in Computer Science or a relevant specialization.</p></li><li><p>Technical institute or higher institute.</p></li><li><p>Training courses/certifications:</p></li><li><p>MCSA (Microsoft Certified Solutions Associate)</p></li><li><p>CCNA (Cisco Certified Network Associate)</p></li><li><p>Network+ (N+)</p></li></ul><p></p><p></p><p></p>

<ul><li><p>Operating systems installation (Windows).</p></li><li><p>Network fundamentals.</p></li><li><p>TCP/IP</p></li><li><p>DNS</p></li><li><p>DHCP</p></li><li><p>LAN &amp; Wi-Fi configuration and troubleshooting.</p></li><li><p>Installing and configuring routers and switches.</p></li><li><p>Troubleshooting hardware and software issues.</p></li></ul><p></p><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p>Bachelor’s degree in Computer Science or a relevant specialization.</p></li><li><p>Technical institute or higher institute.</p></li><li><p>Training courses/certifications:</p></li><li><p>MCSA (Microsoft Certified Solutions Associate)</p></li><li><p>CCNA (Cisco Certified Network Associate)</p></li><li><p>Network+ (N+)</p></li></ul><p></p><p></p><p></p>

<ul><li><p>Follow up all stages of production in terms of production line and its rates.</p></li><li><p>Implementation of all stages of production and direct responsibility for all the production of labor - machinery - raw materials.</p></li></ul><p></p><p><strong>Requirements</strong></p><p>- Bachelor degree <strong>Science </strong>(Chemistry ) / <strong>Engineering </strong>(Chemistry )<br><strong>- Experience in Chemicals OR fragrance ONLY (from 1 to 3 years)</strong><br>- Good in English<br>- Excellent computer skills.<br>&nbsp;</p>

<p>Excellent knowledge of Scrum techniques and artifacts (definition of done, user stories, automated testing, backlog refinement). Understanding of software development processes. Proficiency in Agile development methodologies. Proficiency in the use of JIRA and analytics tools.</p><p><strong>Desired Candidate Profile</strong></p><h2>Requirements</h2><p>Bachelor's degree in computer science, or any related field. 5 to 7 years of experience. Scrum Master certification is preferred.</p>

<ul><li><p>Operating systems installation (Windows).</p></li><li><p> Network fundamentals.</p></li><li><p> TCP/IP</p></li><li><p> DNS</p></li><li><p> DHCP</p></li><li><p> LAN &amp; Wi-Fi configuration and troubleshooting.</p></li><li><p> Installing and configuring routers and switches.</p></li><li><p> Troubleshooting hardware and software issues.</p></li></ul><p></p><p></p><p><strong>Requirements</strong></p><p></p><p>Bachelor’s degree in Computer Science or a relevant specialization.</p><ul><li><p> Technical institute or higher institute.</p></li><li><p> Training courses/certifications:</p></li><li><p> MCSA (Microsoft Certified Solutions Associate)</p></li><li><p> CCNA (Cisco Certified Network Associate)</p></li><li><p> Network+ (N+)</p></li></ul><p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. Role Overview We are looking for a motivated DevOps Engineer to join our team in Cairo, Egypt. This role is ideal for a candidate with 3+ years of experience in DevOps, cloud infrastructure, or platform engineering, and a strong interest in automation, deployment pipelines, and cloud operations. The ideal candidate should have hands-on experience with AWS, Terraform, and other Infrastructure as Code (IaC) tools, along with a good understanding of CI/CD practices, system reliability, and cloud infrastructure management. Key Responsibilities Support the design, implementation, and maintenance of cloud infrastructure on AWS Develop and manage infrastructure using Terraform and other IaC tools Assist in building and maintaining CI/CD pipelines for application deployment and infrastructure automation Collaborate with software engineering teams to improve deployment processes, scalability, and operational efficiency Monitor cloud environments and help ensure system reliability, security, and performance Automate repetitive operational tasks to improve efficiency and consistency Support troubleshooting of infrastructure, deployment, and environment-related issues Participate in managing cloud resources, networking, permissions, and environment configurations Contribute to documentation for infrastructure, deployment processes, and operational procedures Follow DevOps best practices for release management, automation, monitoring, and incident response Required Qualifications Bachelor’s degree in computer engineering, Computer Science or a related field 3+ years of experience in DevOps, cloud engineering, system administration, or a related role Hands-on experience with AWS Experience with Terraform for infrastructure provisioning and management Familiarity with other IaC tools such as CloudFormation, Ansible, or similar Understanding of CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar Experience with Linux environments and shell scripting Familiarity with Git and version control best practices Basic understanding of networking, cloud security, IAM, and system monitoring Strong problem-solving skills and a willingness to learn in a fast-paced team environment Preferred Qualifications Experience with container technologies such as Docker Familiarity with container orchestration platforms such as Kubernetes Understanding of monitoring and logging tools such as CloudWatch, Prometheus, Grafana, or the ELK stack Exposure to security best practices in cloud environments Experience working in Agile or cross-functional engineering teams Why Us 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! Our Benefits &amp; Rewards The salary range for this position is "30,000 USD" to "35,000 USD" and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: [1] Benefits | Siemens Digital Industries Software Diversity &amp; Inclusion We are committed to creating an inclusive workplace. Siemens values diversity and is committed to fostering an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. References #LI-PLM #LI-Hybrid #SWSaaS</span> </div>

<p><h4>JLL empowers you to shape a brighter way.</h4> <p>Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.</p> <h4>About the role:</h4> <p>We are seeking an experienced Assistant Planning Manager to join our Project Development Services (PDS) team in Cairo, Egypt. The successful candidate will play a crucial role in ensuring effective project planning, scheduling, and monitoring for our clients' construction projects.</p> <h4>Key responsibilities:</h4> <ul> <li>Assist in reviewing and approving contractor's programme and detailed baseline schedules.</li> <li>Monitor project progress and update schedules regularly to reflect current status.</li> <li>Prepare and present progress reports to stakeholders and management.</li> <li>Identify and analyze potential scheduling conflicts and propose solutions.</li> <li>Implement and maintain effective planning and scheduling processes.</li> <li>Assist in reviewing and analyzing submitted contractor's claims.</li> </ul> <h4>Requirements:</h4> <ul> <li>Bachelor's degree in engineering, construction management, or related field.</li> <li>Approximately 3-5 years of relevant experience in planning, scheduling, and project management.</li> <li>Proficiency in project management and scheduling software (e.g., Primavera P6, MS Office).</li> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and interpersonal skills.</li> </ul> <p><strong>Project location:</strong> New Cairo</p> <p><strong>Location:</strong> On-site – Cairo, EGY</p> <p>If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!</p> <p>At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.</p> <h4>JLL privacy notice</h4> <p>Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally, the personal information we collect from you is for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with an appropriate level of security and keep it for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.</p> <p>For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.</p> <p>For additional details please see our career site pages for each country.</p> <p>Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – please contact us through the appropriate channels.</p></p><p></p>

dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet. As part of dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs. As a Sales Manager, you will help us meet our B2B acquisition, renewals and revenue growth targets by keeping our company competitive and innovative. You will be responsible for maximising our field sales team's potential, crafting sales plans and justifying those plans to the upper management. Key Responsibilities:Hire & train field sales team members and onboard new members;Achieve growth and hit sales targets by successfully managing the sales team. Design and implement a strategic business plan that expands the company's customer base and ensures its strong presence. Own recruiting, objectives setting, coaching and performance monitoring of sales representatives;Build and promote strong, long-lasting customer relationships by partnering with them and understanding their needs. Manage CRM with current clients, increase the dubizzle client portfolio, and present dubizzle when acquiring new clients. Present sales, revenue and expense reports and realistic forecasts to the management team;Identify emerging market trends and market shifts while being fully aware of new products and competition status. Assist in setting financial targets, budget development, and monitoring;Identify opportunities to improve dubizzle Egypt's business in real estate. Propose a competitive commission structure. Assist in gathering Market insights and setting strategies for telesales (in-house) sales teams;Use customer feedback to generate ideas about new features or products. Research and discover methods to increase customer engagement;Liaise with Marketing and Product Development departments to ensure brand consistency and increase sales.<br><br>Requirements<br><br>Qualifications:Bachelor's degree in Business Administration;A car and a Driving licence, as this role requires you to attend many out-of-office meetings. Experience:Minimum 7 years of Experience, with a minimum of 2 years in a managerial role;Proven ability to drive the sales process from plan to close;Previous experience as a sales representative or sales manager, consistently meeting or exceeding targets. Knowledge:Strong business sense and industry expertise;Familiarity with the dubizzle website;Strong knowledge of the real estate market in Egypt and of the Subscription industry;Familiar with Prop tech, Marketplace, Facebook, and other digital platforms;Excellent in English Communication skills, both verbal and written. Skills:Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organisation;Strong Leadership & people management skills;Highly computer literate and online savvy;Excellent in prospecting, cold calls and generating leads;Excellent communication, negotiation, time management and presentation skills;Excellent at converting leads into paying customers. Traits:Excellent mentoring, coaching and people management skills;Committed to continuous education through workshops, seminars and conferences;Positive/Flexible/Presentable/Committed;Eager for success;Has plug and play attitude.

Senior Machine Learning Engineer (Generative AI)<br>About the Role We are looking for a Senior Machine Learning Engineer to support the development of AI-driven solutions within the Global Digital Marketing team of a leading agricultural company. In this role, you will design and implement intelligent applications powered by Generative AI, Large Language Models (LLMs), and AI agents, helping to automate business processes and enhance digital marketing capabilities. You will collaborate with cross-functional teams to build scalable AI solutions, integrate enterprise data sources, and deliver production-ready applications using modern AI frameworks and cloud technologies. This is an exciting opportunity to work on innovative AI initiatives that drive business transformation at a global scale.<br>Project Overview Our customer is a global leader in the agricultural industry, committed to driving innovation through digital transformation and advanced AI technologies. The Global Digital Marketing team is building next-generation AI solutions that improve customer engagement, automate business processes, and enable intelligent decision-making across enterprise platforms. As a Senior Machine Learning Engineer, you will play a key role in designing and delivering enterprise-grade Generative AI applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions integrated with large-scale enterprise systems.<br>Key Responsibilities Design, develop, and deploy scalable LLM-based intelligent agents and AI-powered applications. Design conversational AI solutions and contribute to solution architecture. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Integrate Large Language Models with enterprise data sources and APIs. Develop semantic workflows using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, and Copilot Studio. Automate internal business processes using n8n and AI-powered workflows. Collaborate with Dev Ops, backend engineers, product owners, and business stakeholders to deliver production-ready AI solutions. Optimize prompt engineering strategies, model performance, and AI application quality. Contribute to AI deployment best practices, model evaluation, and continuous improvement initiatives. Support the adoption of modern AI development tools and engineering practices.<br>Required Qualifications Education Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Technical Skills Proven experience developing and deploying Generative AI or LLM-based applications. Strong prompt engineering skills using Large Language Models such as:Open AIAzure Open AIClaude LLaMAExperience with AWS AI services, including:Amazon Bedrock Agent Core Hands-on experience with:Lang Chain Lang Graph Similar LLM orchestration frameworks Strong understanding of:Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases Experience designing and consuming REST APIs and microservices. English proficiency at B2 level or higher, with the ability to communicate effectively with international stakeholders. Professional Experience Proven experience delivering production-ready AI and Machine Learning solutions. Experience integrating AI applications with enterprise systems and business workflows. Strong software engineering and problem-solving skills. Experience collaborating within Agile development teams.<br>Nice to Have Experience with n8n workflow automation. Semantic Kernel. Microsoft Copilot Studio. Experience supporting Digital Marketing solutions or Mar Tech platforms. SQL proficiency. Experience using AI-assisted development tools such as:Claude Code Git Hub Copilot Similar AI coding assistants Experience with MLOps or AI deployment pipelines.<br>Why Join Us? Join a global team delivering innovative AI solutions for one of the world's leading agricultural companies. Work with cutting-edge Generative AI technologies, intelligent agents, and enterprise-scale AI platforms. Collaborate with experienced AI engineers, architects, and business stakeholders on impactful digital transformation initiatives. Gain hands-on experience building production-ready AI systems using the latest cloud and LLM technologies. Enjoy excellent opportunities for professional growth while expanding your expertise in Machine Learning, MLOps, and enterprise AI engineering.

We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamicteam. In this role, you will be a key contributor to the design, development, and deployment ofsophisticated conversational AI systems, primarily using the RASA framework. Your deepexpertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP)ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtualassistants and chatbots. You will move beyond prototyping to take ownership of components,optimize model performance, and ensure the reliability of our AI solutions in production.<br><br>Key Responsibilities:(Must-have) RASA Framework Development: Design, build, and maintain advanced conversational AI agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions. Model Training & Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue models. Implement strategies for continuous improvement using conversation analytics and user feedback to enhance intent classification, entity recognition, and response quality. Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code forcustom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems. Google Cloud Platform (GCP) Integration & Deployment: Architect, deploy, and manage RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots<br>.<br>Nice-to-have:CI/CD & MLOps: Implement and maintain CI/CD pipelines for automated testing, building, and deployment of RASA models using tools like Git. Champion MLOps best practices for versioning, monitoring, and retraining models. Data Management: Leverage Google Big Query for analyzing conversation logs and deriving insights. Use Cloud Storage for managing training data and model artifact<br>s.<br>Required Qualifications:Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. Experience: 3+ years of professional experience in AI/ML development, with at least 2 years of hands-on, in-depth experience building and deploying production-level chatbots with the RASA framework. Programming: Strong proficiency in Python, with a solid understanding of software engineering principles, design patterns, and API development. Google Cloud Platform: Proven, hands-on experience with core GCP services, including:Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engine. AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language API. Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networking. Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent detection, entity extraction, context management) and practical experience with machine learning libraries (e.g., scikit-learn, spa Cy, Transformers). Version Control & Collaboration: High proficiency with Git in a collaborative team environme<br>nt.<br>Soft Skills & Other Requirements:Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in distributed systems. Ownership & Initiative: A proactive mindset with the ability to take ownership of projects from conception to deployment and beyond, working with minimal supervision. Communication: Strong verbal and written communication skills. Ability to clearly articulate technical concepts to both technical and non-technical stakeholders. Agile Methodology: Experience working in an Agile/Scrum development process. Team Player: A collaborative attitude, with a willingness to mentor junior developers and share knowledge with the team. Continuous Learning: A passion for staying up-to-date with the rapidly evolving fields of Conversational AI, MLOps, and cloud technolog<br>ies.<br>Preferred Qualifications (Bonus):GCP Professional Machine Learning Engineer or other GCP certifications. Experience with containerization technologies (Docker) and orchestration (Kubernetes). Knowledge of infrastructure-as-code tools like Terra<br>form.

Employer Overview The company is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. They have evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. They offer 3 services to their global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights, and Resource Scaling.<br>Job Summary This role will give you the opportunity to design and shape the technical foundation of our Analytics & AI practice, working on high-impact client engagements across industries. As our Analytics & AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI, defining the standards, frameworks, and architectures that our teams build upon.<br>Key Responsibilities:You will lead the technical architecture of Data, Analytics, and AI solutions for our clients, covering the full lifecycle from design to deployment:<br>Architecture & Design Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines. Define standards for data modeling, storage, ingestion, and transformation across client engagements. Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring). ● Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.<br>Team Enablement Define best practices and reusable frameworks for data engineers, analysts, and data scientists. Act as a technical mentor and reviewer for cross-functional project teams. Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects. Contribute to internal knowledge base, toolkits, and delivery accelerators.<br>Client Engagement Lead architecture workshops and discovery sessions with client stakeholders. Translate business requirements into scalable, robust technical blueprints. Present architecture decisions to both technical teams and executive audiences. Support pre-sales and proposal efforts with technical scoping and solution design.<br>Other Provide internal training and knowledge-sharing sessions with the team. Support the Head of Practice on business development and internal capability initiatives.<br>Qualifications Education & Professional Experience: Bachelor's Degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field. Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...).6+ years of technical experience in data architecture or a closely related field. Proven track record in a consulting or multi-client services environment.<br>Technical Skills:Data Architecture & Platforms Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, Big Query, Azure Synapse, Redshift). Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformation. Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalent. Familiarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming).<br>AI & ML Infrastructure Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, Sage Maker, Azure ML, or equivalent. Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection. Exposure to Gen AI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines).<br>Data Engineering & Deployment Proven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalent. Proven hands-on experience with container technologies: Docker, Kubernetes. Proven hands-on experience with versioning software: Git, Git Hub, Git Lab. Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud.<br>Governance & Standards Knowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality management. Exposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer design.<br>Interpersonal Skills Ability to step back, analyze complex problems, define architectural options, and drive decisions. Strong ability to work and collaborate with a variety of stakeholders across technical and business functions. Excellent communication skills with the ability to translate complex technical architectures into clear business implications. High autonomy, attention to detail, and ability to manage multiple client engagements simultaneously.

About the Role<br>As a Rust Software Engineer, you will design and build performance-critical backend services, platform components, and security tooling that power our products and consulting engagements. You will work alongside backend, security, and Dev Ops engineers to deliver reliable, well-tested software that operates in regulated, high-assurance environments. This role is ideal for an engineer who values correctness, memory safety, and clean systems design, and wants their work to have a direct impact on real-world security and compliance outcomes.<br>Key Responsibilities<br>Design, develop, and maintain backend services and APIs in Rust with a focus on performance, reliability, and security. Build systems-level components, including concurrent services, data-processing pipelines, and integrations with internal platforms. Write idiomatic, maintainable, and well-documented Rust code leveraging strong type systems and ownership principles. Develop and maintain internal tools, automation utilities, and security-related applications. Integrate with REST and g RPC APIs, databases, message queues, and third-party services. Create comprehensive unit, integration, and property-based tests to ensure software quality. Participate in code reviews and contribute to engineering best practices. Profile, troubleshoot, and optimize applications for latency, throughput, and resource efficiency. Collaborate with security teams to implement secure coding practices and address security findings. Contribute to system architecture, technical documentation, and CI/CD processes.<br><br>Required Qualifications<br>Bachelor's degree in Computer Science, Software Engineering, or a related field.3+ years of professional software engineering experience.1–2+ years of hands-on experience developing production applications in Rust. Strong understanding of Rust fundamentals, including ownership, borrowing, lifetimes, traits, generics, and error handling. Solid experience with asynchronous and concurrent programming using Tokio and async/await. Experience building and consuming RESTful and/or g RPC services. Familiarity with Rust tooling and ecosystem, including Cargo, Clippy, Rustfmt, Serde, Tokio, Axum/Actix, SQLx, or Diesel. Experience working with relational and/or NoSQL databases. Proficiency with Git workflows, code reviews, and CI/CD pipelines. Strong understanding of data structures, algorithms, and software design principles. Excellent communication skills in English, both written and verbal.<br><br>Preferred Qualifications<br>Experience in cybersecurity, fintech, or other regulated industries. Knowledge of secure coding practices and common application vulnerabilities. Experience with Docker and Kubernetes. Familiarity with cloud platforms such as AWS, Azure, GCP, or OCI. Experience with messaging and queueing technologies such as Redis, Rabbit MQ, or Kafka. Knowledge of Web Assembly (WASM), FFI, embedded systems, or low-level programming. Contributions to open-source Rust projects. Exposure to AI/ML platforms or LLM-serving infrastructure (e.g., v LLM, Fast API).

<p></p><ul><li><p>Analyze healthcare data (e.g., claims, EHRs, patient outcomes) to identify trends, patterns, and opportunities for improvement.</p></li></ul><p></p><ul><li><p>Develop dashboards and reports to track key performance indicators (KPIs) such as cost savings, patient outcomes, and care quality metrics.</p></li></ul><p></p><ul><li><p>Use predictive analytics to identify high-risk patients and recommend targeted interventions.</p></li></ul><p></p><ul><li><p>Measure and report on value-based care metrics, such as:</p><ul><li><p>Hospital readmission rates.</p></li><li><p>Patient satisfaction scores (e.g., NPS)</p></li><li><p>Cost per episode of care.</p></li></ul></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>Education</strong>:</p><ul><li><p>Bachelor’s degree in Healthcare Administration, Statistics, or Computer Science</p></li></ul><ul><li><p>Master’s degree in Health Informatics, Data Science, Public Health, or a related field.</p></li></ul><p></p><p><strong>Certifications</strong>:</p><ul><li><p>Certified Health Data Analyst (CHDA).</p></li><li><p>Certified Professional in Healthcare Quality (CPHQ).</p></li><li><p>Tableau Desktop Specialist or Power BI Certification.</p></li></ul><p></p><p><strong>Experience</strong></p><ul><li><p><strong>1+ years</strong>&nbsp;of experience in healthcare analytics, with a focus on value-based care.</p></li><li><p>Experience working with payers, providers.</p></li><li><p>Proven track record of using data to drive cost savings and improve patient outcomes.</p></li></ul><p></p><p><strong>Tools and Technologies</strong></p><ul><li><p><strong>Data Analysis</strong>: Python essential, others such as R, SAS.</p></li><li><p><strong>Data Visualization</strong>: Tableau, Power BI, QlikView.</p></li><li><p><strong>EHR Systems</strong>: Intersystems.</p></li><li><p><strong>Other Tools</strong>: Microsoft Excel, Azure, AWS.</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Join our Team <br><p><strong>About this opportunity</strong></p><br><br><p>As an <strong>AI &amp; Automation Solution Architect</strong>, you will lead the architecture of intelligent automation solutions that enable customers to modernize operations through AI-powered workflows, autonomous decision-making, and scalable automation platforms.</p><br><br><p>You will establish reusable architecture patterns that connect AI platforms, enterprise applications, and operational systems into intelligent ecosystems capable of sensing, reasoning, deciding, acting, and continuously optimizing business outcomes.</p><br><br><p><strong>What you will do</strong></p><br><br><p>Solution Architecture &amp; Technical Leadership:</p><br><br><ul><li>Lead the end-to-end architecture and design of AI-powered automation solutions across business and operational domains.</li><li>Translate customers' business objectives into scalable automation strategies and solution blueprints.</li><li>Design reusable reference architectures, integration patterns, and architectural standards.</li><li>Lead technical discovery workshops, solution design sessions, and architecture reviews with customers and internal stakeholders.</li><li>Provide technical leadership across multidisciplinary delivery teams.</li><li>Mentor DevOps engineers and automation specialists on architecture best practices.</li><li>Collaborate closely with Product Owners, Product Managers, Software Engineers, Data Scientists, AI Engineers, and Customer Units.</li><li>Support pre-sales activities, solution positioning, customer presentations, and executive-level technical discussions.</li></ul><p>AI, Agentic AI &amp; Intelligent Automation:</p><br><br><ul><li>Design intelligent automation solutions that leverage outputs generated by AI platforms.</li><li>Architect Agentic AI solutions capable of autonomous reasoning, decision-making, and execution within governed enterprise environments.</li><li>Design closed-loop automation solutions that continuously Sense, Analyze, Decide, Act, Validate, and Learn.</li><li>Transform fragmented manual processes into orchestrated digital workflows.</li><li>Design and develop automation solutions that span business applications, OSS/BSS platforms, cloud services, and enterprise systems, while providing hands-on technical&nbsp;contributions when required.</li></ul><p><strong>What you will bring</strong></p><br><br><ul><li>Bachelor's degree in Telecommunications, Computer Science, Computer Engineering, or a related technical discipline.</li><li>7–10 years of relevant professional experience.</li><li>Hands-on programming and scripting experience in one or more of the following: Java (preferred), JavaScript, TypeScript, Node.js, Bash, YAML, or REST APIs.</li><li>Familiarity with relational database concepts and SQL.</li><li>Familiarity with microservices architecture and cloud technologies.</li><li>Familiarity with Agile software development methodologies.</li><li>Knowledge of Windows and Linux operating systems.</li><li>Ability to conduct research, generate practical recommendations, and drive implementation.</li><li>Strong analytical and problem-solving skills with a proven track record of innovation.</li><li>Excellent verbal and written communication skills, including the ability to create clear, maintainable, and reusable technical documentation.</li><li>Results-driven mindset with the ability to identify trends, patterns, and improvement opportunities.</li><li>Ability to collaborate effectively across diverse cultures and global teams.</li></ul><br><p><strong>Why join Ericsson?</strong>At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>&nbsp;<br><strong>What happens once you apply?</strong>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer.&nbsp;learn more.</p><br><br><br><p><strong>Primary country and city:</strong> Egypt (EG) || Cairo</p><br><br><p><strong>Req ID:</strong>&nbsp;785225 </p><br><br><br><br> </div>

Company Description<br>About (FOTON):- EIM Group became the official distributor of FOTON in Egypt in 2023, further strengthening its position in the commercial vehicle sector. Through its extensive market experience and commitment to customer satisfaction, EIM delivers reliable transportation solutions backed by professional sales and aftersales support.<br>Location: Heliopolis - Roxy Employment Type: Full-time<br>Job Role:Achieve monthly and annual sales targets. Conduct daily customer visits to the assigned customers. Promptly handle customer inquiries and requests. Maintain and develop the customer database. Maintain contact with all clients in the market to ensure high levels of client satisfaction and ensure that all customer complaints are resolved. Gather and analyze market information and competition activities to maintain a detailed and updated assessment of competition. Provide market feedback on products. Resolve issues to achieve successful sales. Coordinate with the collection department the collection of customer dues related to sales activities. Prepare and dispatch daily and weekly reports and analyses for all sales and customer visit activities.<br>Qualifications & Experience:+3 years of experience in the Commercial Vehicles sales field. Bachelor's degree holder. Owns a car, and a driving license is a must (Car allowance is applied). Excellent Communication, Presentation, and Negotiation skills. Excellent Time Management skills. Professional appearance, friendly manner, and positive attitude. Very good command of the English language. Very good with basic knowledge of computer applications. Resident in Greater Cairo.<br>Interested? Apply now via Linked In or send your CV to [recruitment@eim-eg.com], with the email subject (Sales Senior Specialist - FOTON).