We are looking for an experienced Lead Data Scientist or Lead GenAI Developer to join our India team (Bengaluru, Gurugram, Hyderabad, Pune, or remote/hybrid). You will lead high-impact AI initiatives either in classical ML, demand forecasting, optimization, and price elasticity OR in Generative AI (RAG, LLMs, Agentic workflows). Both tracks require strong cloud deployment experience (AWS/Azure/GCP). This is a hands-on leadership role with mentorship responsibilities.

Classical ML / Forecasting / Pricing

Key Responsibilities:

- Lead development of demand forecasting models (time series: ARIMA, Prophet, TFT; ML: XGBoost, LightGBM).
- Design and deploy price elasticity models and dynamic pricing optimization (econometric methods, causal inference, bandits).
- Build inventory/revenue optimization engines using linear programming, heuristics, or reinforcement learning.
- Own end-to-end model lifecycle: feature engineering, backtesting, deployment, monitoring, retraining.
- Mentor a team of 36 data scientists and ML engineers.

Must-Have Skills:

- 8–12 years in Data Science / ML, with 2+ years in a lead role.
- Deep expertise in forecasting, price elasticity, and optimization.
- Proficient in Python, SQL; experience with scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet, or OR-Tools.
- Solid cloud deployment experience: AWS SageMaker, Azure ML, or GCP Vertex AI (model serving, CI/CD, monitoring).
- Bachelor’s degree in CS/Stats/OR/Economics; Master’s or PhD preferred.

GenAI / RAG / LLM / Agentic

Key Responsibilities:

- Architect and deploy RAG pipelines for enterprise knowledge retrieval (vector DBs: Pinecone, FAISS, Weaviate; embeddings).




- Design autonomous agentic systems using frameworks like LangGraph, CrewAI, or AutoGen (multi-agent orchestration, tool use, memory).
- Fine-tune LLMs (OpenAI, Llama, Mistral) for domain-specific tasks; implement prompt engineering and evaluation (RAGAS, DeepEval).
- Deploy GenAI solutions on cloud platforms with latency/cost optimization (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
- Lead a team of GenAI developers and prompt engineers.

Must-Have Skills:

- 8–12 years in AI/ML development, with at least 2+ years focusing on Generative AI and agents.
- Strong experience in RAG, LLM orchestration, and agentic workflows.
- Proficient in Python, LangChain/LangGraph, vector databases, and LLM APIs.
- Cloud deployment expertise: AWS Bedrock/SageMaker, Azure AI Foundry, or GCP Vertex AI with MLOps/LLMOps practices.
- Bachelor’s degree in CS/AI; Master’s or PhD preferred.
- Common Requirements

- 8–12 years of total relevant experience.
- Hands-on experience deploying models/agents to production on cloud (Docker, Kubernetes, CI/CD pipelines preferred).
- Strong stakeholder management and ability to translate business problems into technical solutions.
- Experience mentoring junior team members and leading technical design reviews.
- Excellent communication skills (English); ability to work across India-based and global teams.

Nice-to-Have:

- Experience in pricing/revenue management for e-commerce, retail, travel, or fintech (India context).
- Published research or contributions to open-source AI/ML projects.
- Experience with MLflow, Kubeflow, Langfuse, or Weights & Biases.
- Prior experience in a startup or fast-paced product environment.

📌 Lead Data Scientist (West Bengal)
🏢 Tredence
📍 West Bengal