Lead Data Scientist - AI & Machine Learning
Core
Lead a team of Data Scientists and ML Engineers to design, develop, and deploy end-to-end AI and Generative AI solutions for complex client challenges.
Role type
Senior IC Lead Data Scientist (AI & Machine Learning)
Builds
Production ML models, RAG systems, intelligent agent-based applications, and scalable MLOps pipelines.
Domain
Artificial Intelligence, Machine Learning, Generative AI, MLOps, Cloud Data Engineering
Deliverable
production ML models
Required skills
Machine Learning (Classification, Regression, Clustering, Feature Engineering), Deep Learning, Python, MLOps (CI/CD, model versioning, monitoring), Cloud platforms (Azure, AWS, GCP, Databricks), LLM orchestration (LangChain, LangGraph), Vector Databases (Pinecone, Weaviate), Prompt Engineering, Model Evaluation
Preferred skills
PhD in quantitative discipline, Reinforcement Learning, Optimization techniques, Knowledge Graphs, Graph Machine Learning, Distributed data processing (Apache Spark)
Technologies
Scikit-Learn, TensorFlow, Keras, PyTorch, Azure ML, AWS SageMaker, Google Vertex AI, MLflow, FastAPI, Streamlit, Pinecone, Weaviate, Chroma, Milvus, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, LangSmith, RAGAS
Responsibilities
Design and implement end-to-end Machine Learning and Generative AI solutions; Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications; Mentor and coach junior Data Scientists and Machine Learning Engineers; Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements; Monitor model performance, detect concept drift, and continuously improve deployed systems; Collaborate with software engineering teams to productionize AI applications.
Seniority
Senior, hands-on IC with leadership responsibilities
