We are looking for an experienced Senior Data Scientist or Senior GenAI Developer to join our India team (Bengaluru, Gurugram, Hyderabad, Pune, Kolkata, Chennai 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).

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.

Must-Have Skills :

- 5-8 years in Data Science / ML.

- Deep expertise in forecasting, price elasticity, and optimization.

- Proficient in Python, SQL; experience with scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet, or OR-Tools.

- Strong 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).

Must-Have Skills :

- 5-8 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 :

- 5-8 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