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
Share your updated resume to:
[email protected]