Lead Data Scientist – Generative AI (GenAI)
Lead Data Scientist – Generative AI (GenAI) Experience: 12–15+ Years (Data Science / AI Experience) Employment Type: Full-Time (W2 Only) Location: USA (Hybrid / Onsite) Work Authorization: H4 EAD, L2S, GC EAD, Green Card, US Citizen Job Summary We are seeking a highly accomplished Lead Data Scientist with strong Generative AI expertise to design and drive enterprise-scale AI solutions. The ideal candidate will have deep experience in machine learning, statistical modeling, Large Language Models (LLMs), and advanced analytics , along with strong leadership capabilities to guide teams and deliver impactful AI-driven products. This role requires ownership of GenAI solution design, model development, experimentation, deployment, and performance optimization across enterprise environments.
Key Responsibilities
- Define and lead
GenAI and data science strategy across business use cases.
- Design and implement
LLM-based applications including RAG architectures .
- Lead development of
machine learning models and advanced analytics solutions .
- Perform deep
exploratory data analysis (EDA) and derive actionable insights.
- Architect end-to-end
ML pipelines (data ingestion → training → deployment → monitoring) .
- Optimize models for accuracy, scalability, and cost efficiency.
- Collaborate with Data Engineers, ML Engineers, and Product stakeholders.
- Establish best practices for
MLOps, model governance, and evaluation frameworks .
- Mentor junior data scientists and lead technical decision-making.
- Drive innovation in
AI/ML and Generative AI solutions . Required Technical Skills Data Science & ML
- Strong expertise in
Machine Learning & Statistical Modeling
- Python (NumPy, Pandas, Scikit-learn)
- Feature engineering, model evaluation, and tuning
Generative AI
- LLMs (OpenAI, Anthropic, LLaMA, etc.)
- Prompt engineering and LLM orchestration
- RAG (Retrieval-Augmented Generation)
- LangChain / LlamaIndex / Hugging Face
Data & Processing
- SQL
- Large-scale data handling and transformation
Cloud & MLOps
- AWS / Azure / GCP
- MLflow / SageMaker / Azure ML
- CI/CD for ML pipelines
- Model deployment and monitoring
Preferred Qualifications
- Experience with Deep Learning (TensorFlow / PyTorch)
- Exposure to vector databases (Pinecone, FAISS, Chroma)
- Experience with Databricks or big data platforms
- Strong leadership, communication, and stakeholder management skills
Eligibility & Compliance
- W2 Full-Time Only
- No C2C
- No consultancy or vendor profiles
How to Apply
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