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 📩 Share your updated resume to:

manish.g@precisiontechcorp.com

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