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 strategyacross 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 SkillsData 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
Share your updated resume to:

[email protected]