Senior Data Scientist

Role Overview: At EG, the focus is on developing software solutions that cater to the needs of various industries, with a commitment to addressing challenges related to resource utilization, efficiency, and sustainability. As a Senior Data Scientist with over 7 years of experience, you will be an integral part of a high-impact AI COE team that is dedicated to shaping AI-powered digital transformation across different business domains. Your role will involve working on cutting-edge problems in Agentic AI, GenAI, traditional ML, and advanced analytics using the latest tools and cloud technologies to deploy real-world solutions at scale. You will collaborate with exceptional minds in the field to create software that enhances user experience. Key Responsibilities: - Engage with product/business teams to understand requirements and translate them into AI/ML solutions. - Lead feasibility analysis, design solution architecture, and provide technical estimation and resource planning. - Develop, train, and evaluate AI/ML and GenAI models for various business use cases. - Build and deploy end-to-end data pipelines and AI solutions on Azure/AWS using PaaS/IaaS services. - Collaborate with developers, engineers, and business SMEs to operationalize models into production. - Evangelize AI best practices, drive adoption of emerging AI technologies, and act as a thought leader within the COE and Business Units. - Conduct internal trainings, hands-on sessions, and mentoring workshops for upskilling teams. - Guide Business Unit teams in transitioning AI projects to their product stack and support future enhancements. - Document best practices, mentor junior team members, and ensure governance and responsible AI practices. Qualifications Required: - Bachelor's in Computer Science and Engineering or related discipline; advanced degree preferred. - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, embeddings, prompt engineering, agent orchestration, MCP, A2A. - Strong programming skills in Python and experience in product development on large-scale AI platforms. - Proven experience with ML frameworks such as TensorFlow, PyTorch, Keras, NLP, and applied AI. - Full-stack engineering exposure in Angular/React/NodeJS/Streamlit with backend in Python and SQL/NoSQL databases. - Experience in building scalable applications using Azure and AWS cloud-native services. - Sound understanding of OOP/OOD, data structures, design patterns, and diagrams (UML, ER, DFD). - Familiarity with Agile/Lean/XP/DevSecOps, GitHub Actions, SonarQube, and CI/CD pipelines. - Exposure to visualization tools, dashboarding (Power BI, Streamlit, etc.). - Excellent interpersonal, communication, and team collaboration skills. (Note: No additional details about the company were provided in the job description.),