Lead Data Scientist

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

Key Responsibilities

- Lead end‑to‑end 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/Tensor Flow, Hugging Face, Lang Chain/Llama Index
- 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 Sage Maker, 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

- 6–12 years in Data Science/ML with 3+ years in a leadership role
- Strong Python, SQL, Pandas, Num Py, Scikit‑learn
- 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

- Bachelor’s/Master’s in CS, Engineering, or related field
- Proven experience leading AI/ML teams & delivering production-grade solutions