Role: 1.Lead the design and development of Gen-AI solutions, integrating them with existing platforms to deliver new analytical capabilities. 2.Support dept. in developing digitalization solutions to enhance engineering efficiency. Responsibilities: 1. Business & Technical Alignment • Collaborate with business stakeholders to translate business needs into technical requirements. • Monitor and measure the impact of digitalization efforts on operational KPIs. 2. Data Architecture & Modelling • Design and implement robust data models, including semantic layers and knowledge graphs, to establish clear relationships between structured and unstructured data. 3. AI Development & Deployment • Oversee the deployment of AI-based products and solutions. • Design and develop Agentic AI systems to enable autonomous decision-making tasks. • Develop and implement advanced prompt engineering strategies and Agentic RAG systems for accurate, context-aware responses from Gen-AI models. • Monitor and evaluate model performance, ensuring continuous improvement in output quality, relevance, and user experience. • Continuously refine models and workflows based on feedback and performance data. 4. Strategic AI Frameworks • Design long-term, AI-driven frameworks for supply chain optimization, risk mitigation, and sustainability efforts. 5. Reporting & Visualization • Create comprehensive reports and visualize data using plots, heat maps, and other advanced visualization techniques. Technical/ Functional: § Programming & Data: Python, SQL, PySpark, Pandas, NumPy. § Visualization: Power BI, Tableau, Matplotlib, Seaborn, Plotly. § Cloud & Data Platforms: Azure, AWS, GCP, Snowflake, Databricks. § AI/ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face. § Agentic AI & RAG: LangChain, LlamaIndex, Vector § Knowledge Graphs: Neo4j, RDF/SPARQL. § Version Control & CI/CD: Git, GitHub Actions, Azure DevOps. Other: Hands on Experience with automotive datasets Behavioral: § Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights. § ▪ Problem-Solving: Ability to approach problems creatively and develop innovative solutions. § ▪ Attention to Detail: Meticulous attention to detail to ensure data accuracy and model reliability. § ▪ Communication: Excellent communication skills to convey technical information to non-technical stakeholders. § ▪ Collaboration: Strong team player with the ability to work collaboratively in a cross-functional environment. § ▪ Adaptability: Flexibility to adapt to changing business needs and evolving technologies. § ▪ Curiosity: A proactive learner with a curiosity to explore new technologies and methodologies. ▪ Time Management: Effective time management skills to handle multiple projects and meet deadlines