We are looking for a Lead Data Scientist to head the Data Science / AI team and to design, build, and deploy repeatable data and machine-learning pipelines and AI solutions.

You will lead the Data Science / AI team pf 5 to 6 data scientists and AI engineers plus several interns while staying hands-on as a senior individual contributor.

You will own the Data Science / AI roadmap and its delivery across EnMS & BESS energy analytics,

the Aetrium Assistant (Conversational AI) and agentic workflows.

You will be involved in the end-to-end delivery of systems. Exploring, understanding and processing data, designing and building pipelines, understanding model outputs and evaluating performance against defined objectives, and communicating these results.

Role Summary

You will also need to communicate complex technical ideas to wide-ranging audiences.

You will be involved in customer interactions needed to design and deploy the solutions.

Ability to understand deployability of solutions across various Industry Verticals such as Energy,

Manufacturing, BFSI etc.

You will hire, coach and set the technical bar for the team, and be accountable for its delivery, quality and growth.

Key Result Areas

End-to-End ML pipeline Development: Design, train, tune, test, and deploy robust, repeatable ML model pipelines

Data Analysis: Perform data analysis on large datasets, design features, accommodate data quality issues and identify patterns for solutions

Production Deployment: Understand, advise and configure infrastructure for pipeline execution within cloud environments

Roadmap Ownership: Own and drive the technical & AI development roadmap, priorities and direction

Customer Collaboration

Team Leadership & Mentorship: build, coach and grow a team of 5 to 6 data scientists / AI engineers and interns

Hiring & Capability Building: recruit and develop talent; set standards and ways of working

Energy AI: EnMS & BESS analytics monitoring, optimization, forecasting and degradation-aware models

Delivery Accountability: team-level delivery, quality,



reliability and production outcomes

Sprint Management

Code Management

LLM Application Development, LLM Orchestration & Optimization

Agentic AI & Workflow Integration

RAG (Retrieval-Augmented Generation)

Multilingual & NLP capabilities /NLP to SQL capabilities for assistants

Developing Machine Learning pipelines and MLOPs

Data analysis, data exploration, and identifying patterns

Delivering software into large enterprise environments

Developing or deploying models, feature engineering, model evaluation and iteration

Understanding of statistics

Working as a part of a team with version control technologies

Leading and mentoring a team sprint planning, code review and delivery ownership

Client-facing skills, or equivalent demonstration of stakeholder management

Design evaluation frameworks for accuracy, relevance, and safety

Must have skills

Experience using Git for code versioning

Experience using Jira to create Sprints

Proven experience leading and mentoring a data science / ML team

Experience owning delivery roadmaps, sprint planning and stakeholder management

Experience using MLOPs, such as DVC, MLflow, etc for model tracking

Knowledge of statistical concepts

Strong experience with LLMs (e.g., Open AI, open-source models)

Hands-on with LangChain / LangGraph / LlamaIndex (or similar)

Proficiency in Python (mandatory)

Proficiency in Pytorch (mandatory)

Proficiency in SQL (mandatory)

Understanding of NLP concepts (tokenization, embeddings, transformers)

Understanding of Computer Vision concepts

Experience with HuggingFace ecosystem

Vector Databases (FAISS, Pinecone, Weaviate)

Experience building scalable, production-grade AI systems

Knowledge of APIs, microservices

Knowledge of Async processing

Experience with Voice AI (STT / TTS integration)

Experience with Real-time AI systems

Desired Skills

Exposure to Multilingual AI (Indic languages)

Experience in the energy / industrial domain (EnMS, BESS, Industry 4.0)

Familiarity with Agent Frameworks (MCP, CrewAI, AutoGen, etc)

Claude certification

Experience working with large datasets using Spark, Airflow, etc

📌 Lead /Head - Data Science (Gurugram)
🏢 The Second Office Search Partners
📍 Gurugram