Lead Data Scientist

We are looking for a handson Lead Data Scientist to drive AI/ML strategy, build scalable solutions, and lead a talented team across multiple client projects.

Key Responsibilities

• Lead endtoend data science lifecycle: problem definition modeling deployment monitoring
• Build and scale AI/ML solutions: OCR, Document Intelligence, RAG, predictive models, anomaly detection, recommendations, GenAI
• Work with LLMs (OpenAI, Llama, Claude, Gemini) and agentic workflows
• Develop pipelines using Python, PyTorch/TensorFlow, HuggingFace, LangChain/LlamaIndex
• Implement vector search, embeddings, hybrid search, and multimodal AI
• Collaborate with Data Engineering for strong ETL/ELT pipelines
• Deploy models using MLOps: Docker, CI/CD, MLflow, Kubeflow, Airflow
• Work on cloud ML platforms: AWS SageMaker, GCP Vertex AI, Azure AI
• Lead client discussions, demos, proposals & stakeholder communication
• Mentor Data Scientists/Analysts and enforce best practices & coding standards

Required Skills & Experience

• 612 years in Data Science/ML with 3+ years in a leadership role
• Strong Python, SQL, Pandas, NumPy, Scikitlearn
• Expertise in NLP, OCR, LLMs, embeddings, time series, deep learning
• Experience with vector DBs (Qdrant, Pinecone, FAISS, Chroma, Weaviate)
• Experience with Azure Document Intelligence / AWS Textract / Google Document AI
• Strong understanding of model lifecycle, governance, and monitoring
• Excellent communication & stakeholder management

Qualifications

• Bachelors/Masters in CS, Engineering, or related field
• Proven experience leading AI/ML teams & delivering production-grade solutions