Manager-Efficiency Facilitation

Essential :
B.E / B. Tech/ M.Tech./M.Sc in any Stream Desirable:
Specialization in Computer Science, Data science/ML• Gen AI • Agentic AI • Python • Rag Architecture• Data Analytics • Planning & Execution •Logistics 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.