Manager-Efficiency Facilitation

Job Title: Manager-Efficiency Facilitation

Location: Gurugram

Experience: 7 to 10 years

Essential :

B.E / B. Tech/ M.Tech./M.Sc in any Stream

Desirable:

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.

• Collaborate with business stakeholders to translate business needs into technical requirements.
• Monitor and measure the impact of digitalization efforts on operational KPIs.

2.

• Design and implement robust data models, including semantic layers and knowledge graphs, to establish clear relationships between structured and unstructured data.

3.

• 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.

• Design long-term, AI-driven frameworks for supply chain optimization, risk mitigation, and sustainability efforts.

5.

• 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

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.