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<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>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 !<br> Objective: 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.<br> 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.<br> 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.<br> Responsibilities: Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.<br> Proven hands-on Gen AI / Agentic AI and data science with machine learning Strong knowledge of Python Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.<br> Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.<br> Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.<br> Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).<br> Experience with Lean / Agile development methodologies Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.<br> Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.<br> Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).<br> Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.<br> Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.<br> Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.<br>, Strong understanding of LLM fine-tuning, local deployment of open source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django.<br> Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.<br> Experience with perception (e.<br>g. computer vision), time series data (e.<br>g. text analysis) Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc.<br></span> </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 Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting &amp; Technology Services !<br> Objective: 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.<br> 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.<br> 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.<br> Responsibilities: Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.<br> Proven hands-on Gen AI / Agentic AI and data science with machine learning Strong knowledge of Python Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.<br> Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.<br> Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.<br> Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).<br> Experience with Lean / Agile development methodologies Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.<br> Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.<br> Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).<br> Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.<br> Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.<br> Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.<br>, Strong understanding of LLM fine-tuning, local deployment of open source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django.<br> Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.<br> Experience with perception (e.<br>g. computer vision), time series data (e.<br>g. text analysis) Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p></p><ul> <li>Design and maintain the company's end-to-end AI underwriting architecture.</li> <li>Build and deploy borrower risk scoring and Probability of Default (PD) models.</li> <li>Lead feature engineering across traditional, behavioral, and alternative data sources.</li> <li>Develop risk-based pricing models tied to borrower risk tiers.</li> <li>Monitor model performance, detect drift, and drive continuous improvement.</li> <li>Partner with Credit Strategy to translate model outputs into lending policies.</li> <li>Collaborate with Data Infrastructure to ensure accurate, production-grade model deployment.</li> <li>Build underwriting capability across car financing, student loans, and personal loans - with SME lending to follow.</li> </ul><p></p> <p></p><ul> <li>8-12+ years in credit risk modeling, with proven production deployments.</li> <li>Strong ML background - gradient boosting, neural networks, logistic regression.</li> <li>Experience with alternative and behavioral data sources for credit decisions.</li> <li>Python proficiency and familiarity with ML frameworks (scikit-learn, XGBoost, TensorFlow or similar).</li> <li>Track record building models for at least one of: personal loans, auto loans, student loans, BNPL, or SME lending.</li> <li>Understanding of model explainability requirements in a regulated environment.</li> </ul><p></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p></p><ul> <li>8-12+ years in credit risk modeling, with proven production deployments.</li> <li>Strong ML background - gradient boosting, neural networks, logistic regression.</li> <li>Experience with alternative and behavioral data sources for credit decisions.</li> <li>Python proficiency and familiarity with ML frameworks (scikit-learn, XGBoost, TensorFlow or similar).</li> <li>Track record building models for at least one of: personal loans, auto loans, student loans, BNPL, or SME lending.</li> <li>Understanding of model explainability requirements in a regulated environment.</li> </ul><p></p><p></p></section>

<p>Develop AI-powered solutions using Machine Learning and Natural Language Processing.</p><p><strong>Responsibilities</strong></p><ul><li><p>Train ML Models</p></li><li><p>NLP</p></li><li><p>AI Integration</p></li><li><p>Data Processing</p></li><li><p>Model Deployment</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Python</p></li><li><p>TensorFlow</p></li><li><p>PyTorch</p></li><li><p>Scikit-learn</p></li><li><p>NLP</p></li></ul><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a hands-on Applied Scientist / ML Engineer to support the development and improvement of AI/ML solutions, with a strong focus on Large Language Models, model accuracy, evaluation frameworks, and production-ready machine learning pipelines. The role will involve fine-tuning models, building RAG pipelines, improving prompt strategies, and collaborating with engineering teams to integrate AI capabilities into operational tools.</p><p>Key Responsibilities</p><ul><li>Fine-tune and optimize Large Language Models for domain-specific use cases.</li><li>Build evaluation frameworks to measure model quality, accuracy, and performance.</li><li>Develop and maintain RAG pipelines using operational data, documentation, and codebase references.</li><li>Design prompt engineering strategies and improve multi-step AI workflows.</li><li>Analyze model failure points, identify accuracy gaps, and recommend improvements.</li><li>Collaborate with software engineering teams to deploy model enhancements into production.</li><li>Create dashboards and reporting to track model performance and continuous improvement.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years of hands-on experience in machine learning, deep learning, NLP, or LLM development.</li><li>Experience fine-tuning language models such as GPT, Claude, Llama, Mistral, or similar.</li><li>Strong Python skills and experience with PyTorch, TensorFlow, or Hugging Face Transformers.</li><li>Experience building end-to-end ML pipelines, including data preparation, training, evaluation, and deployment.</li><li>Knowledge of model evaluation metrics such as accuracy, F1, BLEU, ROUGE, and human evaluation methods.</li><li>Experience with RAG architectures, vector databases, and embedding models is preferred.</li><li>Familiarity with AWS ML tools such as Amazon Bedrock or SageMaker is a plus.</li><li>Ability to work independently and deliver high-quality results with minimal supervision.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team.<br> This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment.<br> You will assist in the development, implementation, and monitoring of machine learning models and algorithms.<br> Key responsibilities include: Assisting in the design and implementation of machine learning models under the guidance of senior engineers.<br> Conducting data cleaning and preprocessing to prepare datasets for training models.<br> Supporting the evaluation and fine-tuning of machine learning algorithms.<br> Collaborating with cross-functional teams to understand project requirements and objectives.<br> Documenting processes, model training, and outcomes clearly and comprehensively.<br> Staying updated with industry trends and best practices in machine learning and AI.<br> Participating in team meetings and contributing to brainstorming sessions.<br> Hybrid working model Social and medical insurance Transportation Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic understanding of machine learning concepts and algorithms.<br> Familiarity with programming languages such as Python or R, and experience with ML libraries (e.<br>g., scikit-learn, TensorFlow, or Keras).<br> Experience with data manipulation and analysis tools such as Pandas and NumPy.<br> Strong analytical and problem-solving skills.<br> Good communication skills and the ability to work effectively in a team environment.<br> Enthusiasm for learning new technologies and techniques in AI/ML.<br> Internship or project experience in machine learning or data analysis is a plus.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled and innovative Senior AI Developer to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and data engineering, with a strong foundation in Python and modern AI frameworks. You will collaborate with cross-functional teams to build intelligent systems that solve real-world problems and drive business value.</p><p>Responsibilities:</p><ul><li>Design, develop, and deploy scalable AI/ML models for classification, prediction, recommendation, NLP, or computer vision tasks.</li><li>Collaborate with data scientists, engineers, and product teams to define AI solution requirements and architecture.</li><li>Build and maintain machine learning pipelines, from data ingestion to model serving.</li><li>Optimize model performance, accuracy, and efficiency for production environments.</li><li>Conduct research and stay current with the latest advancements in AI, ML, and deep learning.</li><li>Lead AI-related projects and mentor junior developers or data scientists.</li><li>Ensure AI solutions are explainable, ethical, and aligned with organizational goals.</li><li>Integrate AI models into web, mobile, or enterprise applications using APIs or microservices.</li><li>Document models, workflows, and decision logic for transparency and reproducibility.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.</li><li>5+ years of experience in AI/ML development, including production-grade deployments.</li><li>Strong proficiency in Python and libraries such as scikit-learn, NumPy, pandas, Matplotlib.</li><li>Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning algorithms, neural networks, and model evaluation techniques.</li><li>Experience with data preprocessing, feature engineering, and model tuning.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and ML model deployment tools (e.g., Docker, FastAPI, MLflow).</li><li>Strong grasp of data structures, algorithms, and software engineering principles.</li></ul><p>Preferred (Nice-to-Have):</p><ul><li>Experience with natural language processing (NLP), computer vision, or time-series forecasting.</li><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, Airflow, SageMaker).</li><li>Exposure to generative AI (e.g., transformers, LLMs, diffusion models).</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis) and big data tools (e.g., Spark, Hadoop).</li><li>Knowledge of data privacy, AI ethics, and model interpretability techniques.</li><li>Contributions to open-source AI projects or research publications.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li>Self-driven, collaborative, and passionate about innovation.</li><li>Ability to lead projects and mentor junior team members.</li></ul><p>Apply</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s or Master s degree in Computer Science, Data Science, AI, or a related field.</li><li>5+ years of experience in AI/ML development, including production-grade deployments.</li><li>Strong proficiency in Python and libraries such as scikit-learn, NumPy, pandas, Matplotlib.</li><li>Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning algorithms, neural networks, and model evaluation techniques.</li><li>Experience with data preprocessing, feature engineering, and model tuning.</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and ML model deployment tools (e.g., Docker, FastAPI, MLflow).</li><li>Strong grasp of data structures, algorithms, and software engineering principles.</li><li>Experience with natural language processing (NLP), computer vision, or time-series forecasting.</li><li>Familiarity with MLOps practices and tools (e.g., Kubeflow, Airflow, SageMaker).</li><li>Exposure to generative AI (e.g., transformers, LLMs, diffusion models).</li><li>Experience with NoSQL databases (e.g., MongoDB, Redis) and big data tools (e.g., Spark, Hadoop).</li><li>Knowledge of data privacy, AI ethics, and model interpretability techniques.</li><li>Contributions to open-source AI projects or research publications.</li><li>Strong analytical and problem-solving mindset.</li><li>Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.</li><li>Self-driven, collaborative, and passionate about innovation.</li><li>Ability to lead projects and mentor junior team members.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is looking for a skilled AI Engineer to join our innovative team.<br> As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges.<br> You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings.<br> This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization.<br> You will be involved in all stages of AI project development, from data collection and preprocessing to model training, deployment, and monitoring.<br> ? Competitive salary paid in USD ? Fully remote – work from anywhere ? Work with a diverse international team ? Exciting projects and a supportive engineering culture ? Opportunities to grow technically and professionally 3+ years of experience in AI or machine learning engineering roles.<br> Proficiency in programming languages such as Python and experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn.<br> Knowledge of AI model deployment and monitoring best practices.<br> Understanding of data processing, feature engineering, and model evaluation techniques.<br> Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Strong problem-solving abilities and excellent communication skills.<br> Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred.<br> Familiarity with containerization tools such as Docker is a plus.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We re Hiring: AI Engineer Are you passionate about building AI-powered solutions that transform the Architecture, Engineering &amp; Construction (AEC) industry?</p><p>If you're excited about applying AI to solve real-world engineering challenges and want to be part of a team shaping the future of digital construction, we'd love to hear from you.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 2 years of experience in AI/Machine Learning.</li><li>Experience in the AEC (Architecture, Engineering &amp; Construction) or Construction Technology industry is highly preferred.</li><li>Strong proficiency in Python , PyTorch , TensorFlow , or Scikit-learn .</li><li>Experience with Computer Vision , LLMs , and Generative AI .</li><li>Knowledge of BIM and Autodesk Revit is a strong advantage.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span style="font-size: 11px;">Connect to your opportunity</span></p><ul><li>Identify and solve complex problems using a structured and logical approach.</li><li>Stay up to date on the latest data engineering technologies and trends.</li><li>Work with other engineering teams to integrate data engineering solutions with other systems.</li><li>Maintain and optimize data systems to ensure high availability and performance.</li><li>Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.</li><li>Gather requirements from stakeholders and translate them into technical specifications.</li><li>Lead a team of data engineers in the design, development, and implementation of data engineering solutions.</li><li>Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.</li><li>Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.</li><li>Manage multiple projects simultaneously in a highly organized and efficient manner.</li><li>Think creatively and come up with new solutions to problems.</li><li>Communicate effectively with technical and non-technical audiences, both verbally and in writing.</li></ul><p>Connect to your skills and professional experience</p><ul><li><b>Technical skills:</b></li><li>7+ years of relevant experience.</li><li>Cloud computing platforms: AWS/Azure/GCP</li><li>Programming languages: Python/Java/Scala &amp; Unix Shell scripting</li><li>Data warehouse technologies: Redshift/Snowflake/Big Query</li><li>Data lake technologies: Hadoop, Apache Beam, Spark, and Hive</li><li>Orchestration: Airflow/Control-M/(Any Orchestration tool)</li><li>Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn</li></ul><p>Connect to your service line - Technology &amp; Transformation</p><p>Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Identify and solve complex problems using a structured and logical approach.</li><li>Stay up to date on the latest data engineering technologies and trends.</li><li>Work with other engineering teams to integrate data engineering solutions with other systems.</li><li>Maintain and optimize data systems to ensure high availability and performance.</li><li>Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.</li><li>Gather requirements from stakeholders and translate them into technical specifications.</li><li>Lead a team of data engineers in the design, development, and implementation of data engineering solutions.</li><li>Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.</li><li>Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.</li><li>Manage multiple projects simultaneously in a highly organized and efficient manner.</li><li>Think creatively and come up with new solutions to problems.</li><li>Communicate effectively with technical and non-technical audiences, both verbally and in writing.</li></ul><b>Technical skills:</b><ul><li>7+ years of relevant experience.</li><li>Cloud computing platforms: AWS/Azure/GCP</li><li>Programming languages: Python/Java/Scala &amp; Unix Shell scripting</li><li>Data warehouse technologies: Redshift/Snowflake/Big Query</li><li>Data lake technologies: Hadoop, Apache Beam, Spark, and Hive</li><li>Orchestration: Airflow/Control-M/(Any Orchestration tool)</li><li>Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Key Responsibilities Lead the entire ML lifecycle from data collection and analysis to model deployment, monitoring, and optimization. Apply deep learning and NLP techniques to develop solutions, potentially enhancing systems like search or recommendation engines. Design and implement end-to-end ML pipelines, incorporating MLOps best practices for CI/CD, containerization (Docker, Kubernetes), and cloud deployment ( AWS , GCP, Azure). Utilize LLM knowledge, including prompt engineering and fine-tuning, to build advanced generative AI applications and conversational AI solutions. Perform comprehensive data analytics, including statistical analysis and feature engineering, to inform model development and extract actionable insights from large datasets. Write production-quality, robust code in Python (and potentially other languages like Java or Scala), ensuring code quality through reviews and testing. Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to translate business requirements into technical ML solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Proven experience as a Machine Learning Engineer with a strong portfolio of deployed production models. Proficiency in Python and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in data science methodologies, statistical analysis, and data analytics. Hands-on experience with MLOps tools and practices for managing the ML application lifecycle. Strong understanding of NLP and experience with LLMs and prompt engineering techniques. Solid software engineering background with knowledge of data structures, algorithms, and system design. Excellent problem-solving, communication, and collaboration skills.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>in this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.<br>A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.<br>You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.<br>Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include: * Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. * Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. * Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. * Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. * Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Preferred education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>Technical Skills:<br>* Proficiency in programming languages such as Python, R, or Scala.<br>* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).<br>Leadership Skills:<br>* Leadership skills with the ability to inspire and motivate junior team members.<br>* Strategic thinking with the ability to align data science initiatives with business objectives.<br>* Very good communication skills, capable of conveying complex ideas to a variety of audiences.<br>* Proven ability to work collaboratively in projects with cross-functional teams.<br>* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably consulting) organization.<br>* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.<br>* Strong knowledge of Natural Language Processing (NLP) and AI ethics.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions. * Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions. * Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models.</p><br><br> <p>Your primary responsibilities will include:</p><br><br> <p>* <strong>Design AI Solutions:</strong> Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.</p><br><br> <p>* <strong>Develop Cognitive Solutions:</strong> Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.</p><br><br> <p>* <strong>Implement AI Frameworks:</strong> Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.</p><br><br> <p>* <strong>Manage AI Project Lifecycle:</strong> Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.</p><br><br> <p>* <strong>Collaborate with Stakeholders:</strong> Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Preferred education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>* <strong>Advanced Analytics Techniques:</strong> Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges.</p><br><br> <p>* <strong>AI Frameworks and Tools:</strong> Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.</p><br><br> <p>* <strong>Programming Skills:</strong> Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions.</p><br><br> <p>* <strong>NLP and ML Methods:</strong> Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.</p><br><br> <p>* <strong>Cloud Platforms and Databases:</strong> Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Familiarity with Modern UI:</strong> Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.</p><br><br> <p>* <strong>Understanding of Libraries:</strong> Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.</p><br><br> <p>* <strong>Operating Systems Knowledge:</strong> Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.</p><br><br> <br> <br> <br> <br> <br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Build and deploy production-grade Generative AI and Agentic AI solutions across the organization. Develop multi-agent systems and agent-to-agent (A2A) orchestration for autonomous, end-to-end workflows. Build RAG pipelines with vector databases and embeddings to ground LLMs in enterprise data. Design, train, and deploy Deep Learning models (NLP, CV, time-series) using PyTorch. Use AWS (Bedrock, SageMaker) and Azure (OpenAI, ML Studio) to host and scale AI workloads. Integrate Snowflake Cortex AI/ML, SAP Joule, and MuleSoft AI Chain with enterprise systems. Apply prompt engineering, function calling, and guardrails for reliable LLM apps. Operationalize models with MLOps/LLMOps: CI/CD, evaluation, monitoring, and responsible AI.</p><p>Key Responsibilities:</p><ul><li>Build LLM apps and agentic workflows using LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.</li><li>Design agent-to-agent (A2A) orchestration: planning, tool use, memory, and multi-agent collaboration.</li><li>Develop RAG pipelines: chunking, embeddings, vector search, re-ranking, and grounding.</li><li>Train and fine-tune deep learning models with PyTorch.</li><li>Deploy models on AWS Bedrock, SageMaker, Azure OpenAI, and Azure ML Studio.</li><li>Integrate AI with Snowflake Cortex, SAP Joule, and MuleSoft AI Chain.</li><li>Apply prompt engineering, evaluation, and guardrails for safe, accurate outputs.</li><li>Implement MLOps/LLMOps: experiment tracking, CI/CD, monitoring, and drift detection.</li><li>Collaborate with engineering, data, and business teams and document architectures.</li></ul><p>Deliverables:</p><ul><li>Production GenAI and agentic applications adopted by business users.</li><li>Working multi-agent systems with A2A orchestration automating key workflows.</li><li>Reliable RAG pipelines with accurate, grounded LLM responses.</li><li>Trained and deployed deep learning models meeting accuracy, latency, and cost targets.</li><li>Successful integrations with Snowflake Cortex, SAP Joule, and MuleSoft AI Chain.</li><li>End-to-end MLOps/LLMOps pipelines for training, deployment, and monitoring.</li><li>Responsible AI guardrails ensuring quality, safety, and governance.</li><li>Reusable AI components, prompt libraries, and reference architectures.</li><li>Clear technical documentation and architecture diagrams.</li><li>Measurable business outcomes: efficiency, automation, and better user experience.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+years of experience</li><li>Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or Mathematics.</li><li>Certifications in AWS, Azure, Snowflake, GenAI, or ML preferred.</li><li>Equivalent hands-on AI/ML experience may substitute for certifications.</li><li>Mandatory Technical Skills:</li><li>Strong Python with NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face.</li><li>Hands-on with LLM and agent frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI.</li><li>Experience designing agent-to-agent (A2A) orchestration: tool use, planning, function calling, memory.</li><li>Practical RAG experience with vector DBs (Pinecone, Weaviate, Chroma, FAISS, pgvector).</li><li>Solid Deep Learning: transformers, CNNs, RNNs, fine-tuning, and model evaluation.</li><li>Hands-on with AWS AI/ML: Bedrock, SageMaker, Lambda, S3.</li><li>Hands-on with Azure AI/ML: Azure OpenAI, ML Studio, AI Foundry.</li><li>Good experience with Snowflake AI/ML: Cortex AI and Snowpark ML.</li><li>Good experience with SAP Joule: GenAI copilot and SAP integrations.</li><li>Good experience with MuleSoft AI Chain on Anypoint Platform.</li><li>Proficient in prompt engineering, evaluation, and guardrails.</li><li>Experience with REST APIs, Git, Docker, and CI/CD for models.</li><li>Solid MLOps/LLMOps: tracking, versioning, monitoring, responsible AI.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p>Tools and Technologies:</p><ul><li>Languages &amp; Frameworks: Python, PyTorch, TensorFlow, Hugging Face, scikit-learn, FastAPI.</li><li>LLM &amp; Agent Frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Semantic Kernel.</li><li>LLM Providers: OpenAI, Anthropic Claude, Llama, Mistral, Cohere, Hugging Face.</li><li>Cloud AI: AWS Bedrock, SageMaker, Azure OpenAI, Azure ML Studio, AI Foundry.</li><li>Enterprise AI: Snowflake Cortex &amp; Snowpark ML, SAP Joule, MuleSoft AI Chain.</li><li>Vector DBs: Pinecone, Weaviate, Chroma, FAISS, pgvector, Milvus.</li><li>Data &amp; Storage: Snowflake, SQL, PostgreSQL, MongoDB, S3, Azure Data Lake, Pandas, Spark.</li><li>MLOps/LLMOps: MLflow, Weights &amp; Biases, LangSmith, LangFuse, Docker, Kubernetes, Git CI/CD.</li><li>Evaluation: RAGAS, DeepEval, TruLens, Arize.</li><li>Collaboration: Jupyter, VS Code, Jira, Confluence, Postman.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At Calibre, we are transforming our product family through the integration of Machine Learning and Generative AI technologies. As a key member of the team, you will help drive innovation across our core products, enhancing productivity, precision, and customer value. This role offers global impact and the opportunity to shape the future of mission-critical services.</p> <strong>Responsibilities:</strong> <ul> <li>Architect and implement cutting-edge AI/ML solutions integrated within Calibre products to deliver exceptional customer value.</li> <li>Drive quality assurance and performance optimization across multiple platforms to ensure robust and reliable product releases.</li> <li>Lead strategic technical initiatives, providing thought leadership and fostering innovation across cross-functional teams.</li> <li>Collaborate directly with stakeholders to gather requirements and influence product direction through technical expertise.</li> <li>Design and develop scalable software systems with a focus on AI/ML integration and optimization.</li> <li>Mentor and support junior engineers, promoting technical excellence and professional development.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Required experience/skills</strong></p> <ul> <li>Master s degree in Computer Science, Computer Engineering, or a related field (Bachelor s degree with equivalent experience will also be considered).</li> <li>Strong software development experience with expertise in Python, Java, or C++.</li> <li>Proven experience building and deploying production-grade AI/ML applications.</li> <li>Hands-on experience with modern ML frameworks such as TensorFlow and PyTorch, as well as GenAI technologies including OpenAI APIs, LangChain, and Hugging Face.</li> <li>Strong understanding of data structures, algorithms, and software design principles.</li> <li>Experience working with Large Language Models (LLMs) and enterprise AI applications is a plus!</li> <li>Demonstrated technical leadership within AI/ML projects and contributions to open-source projects or AI/ML research publications is preferred.</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As an AI &amp; Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals.<br> This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br> Responsibilities Develop and implement AI and data-driven solutions to support business objectives.<br> Analyze large datasets to extract actionable insights and support decision-making.<br> Design and build machine learning models and algorithms tailored to company projects.<br> Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br> Stay current with the latest advances in AI, machine learning, and data science technologies.<br> Support data governance, data quality, and ethical AI practices within the organization.<br> A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within.<br> Continuous feedback: We don’t wait for annual reviews — we believe in real-time coaching and development.<br> Supportive &amp; collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.<br> A space for every personality: Love socializing?<br> You’ll thrive in our lively environment where conversation and connection are key.<br> Prefer quiet focus?<br> We’ve got dedicated Focus Rooms perfect for deep work.<br> Bachelor’s degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (academic or personal projects are a plus).<br> Good programming skills in Python and familiarity with data processing libraries (such as Pandas and NumPy).<br> Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn.<br> Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows.<br> Experience working in Agile-style delivery.<br> Eligible to work in Egypt.<br> Experience with version control using Git is a plus.<br> Completion of solid AI, machine learning, or data projects is a plus.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>BlackStone eIT is looking for a skilled AI Engineer to join our innovative team. As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings. This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization. You will be involved in all stages of AI project development, from data collection and preprocessing to model training, deployment, and monitoring.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3+ years of experience in AI or machine learning engineering roles. Proficiency in programming languages such as Python and experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn. Knowledge of AI model deployment and monitoring best practices. Understanding of data processing, feature engineering, and model evaluation techniques. Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong problem-solving abilities and excellent communication skills. Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred. Familiarity with containerization tools such as Docker is a plus.</p><p></p></section>

<p>We are looking for an AI Specialist / AI Engineer who is passionate about modern technologies and capable of developing AI-powered solutions to improve operations and build intelligent digital products.</p><p>Key Responsibilities:</p><p>- Develop, train, and optimize Artificial Intelligence and Machine Learning models.<br>- Analyze, clean, and prepare data for AI models.<br>- Build and integrate AI solutions with different systems and applications.<br>- Monitor, improve, and maintain AI model performance after deployment.<br>- Work on solutions such as chatbots, OCR, recommendation systems, text analysis, and image analysis.<br>- Collaborate with software development and product teams to understand requirements and turn them into practical AI solutions.<br>- Stay updated with the latest AI tools, technologies, and industry trends.<br>- Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, or Scikit-learn.<br>- Good understanding of NLP, Large Language Models, and Machine Learning.<br>- Experience working with APIs and databases.<br>- Basic knowledge of software engineering principles and Git.<br>- Strong problem-solving and analytical thinking skills.<br>- Practical AI projects or previous experience in the field are preferred.</p><p>Additional Advantages:</p><p>- Experience with LangChain or LangGraph.<br>- Experience working with vector databases such as Qdrant or Redis.<br>- Experience deploying models using Docker or cloud services.<br>&nbsp;</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>Connect to your opportunity</b></p><p>Data requirements gathering and client engagement. Being able to engage with the client to understand their pain points and requirements. Communicate solutions/propositions effectively back to client/team</p><p>Data analysis and pre-processing</p><p>Collect and clean large datasets for machine learning projects. Explore data to identify patterns, anomalies, and potential insights. Pre-process data, including feature engineering and normalization.</p><p>Algorithm Development</p><p>Design, develop, and implement machine learning algorithms. Experience with various machine learning models and techniques. Optimize algorithms for accuracy, efficiency, and scalability.</p><p>Model Training and Evaluation</p><p>Train machine learning models using collected data. Perform testing to validate models Evaluate model performance using appropriate metrics and techniques. Fine-tune models to improve predictive accuracy.</p><p>Data Visualization</p><p>Create informative data visualizations to communicate insights effectively</p><p>Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software s like Tableau, Power BI.</p><p>Connect to your skills and professional experience</p><p>You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.</p><p>7+ Years of experience in AI/ML field.</p><p>Essentials:</p><p>Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.</p><p>Data proficiency: Proficient in data collection, pre-processing, and analysis.</p><p>Model Mastery: Proven experience in developing and fine-tuning machine learning models.</p><p>Desirables:</p><p>Domain Knowledge: Familiarity with deploying ML frameworks in industry</p><p>Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.</p><p>Project Leadership: Previous experience leading AI/ML initiatives.</p><p>Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness!</p><p>Connect to your service line - Technology and Transformation</p><p>Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters.</p><p>Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further details as you progress through the recruitment process.</p><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing.</li><li>At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.</li><li>7+ Years of experience in AI/ML field.</li><li>Essentials:</li><li>Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.</li><li>Data proficiency: Proficient in data collection, pre-processing, and analysis.</li><li>Model Mastery: Proven experience in developing and fine-tuning machine learning models.</li><li>Desirables:</li><li>Domain Knowledge: Familiarity with deploying ML frameworks in industry</li><li>Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.</li><li>Project Leadership: Previous experience leading AI/ML initiatives.</li></ul><p></p></section>