Hybrid Data Scientist

Posted 2 weeks ago

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About the role

  • Solution Architecture & Implementation
  • Design and implement end-to-end Generative AI solutions on Databricks, leveraging Unity Catalog, MLflow, Delta Lake, and Vector Search.
  • Fine-tune and evaluate LLMs and domain-specific NLP models (NER, Risk Assessment, Question Answering).
  • Collaborate with data engineering teams to ensure clean, well-governed, and vectorized data pipelines.

Requirements

  • Job Title: Senior AI Engineer – Generative AI & Databricks
  • Experience: 5-8+ Years
  • Strong background in Machine Learning, NLP, and LLMs (Transformers, RAG, embedding models).
  • Proven experience fine-tuning or implementing models using Hugging Face, LangChain, LlamaIndex, or OpenAI API.
  • Expertise in Databricks (Delta Lake, MLflow, Unity Catalog, Feature Store, Vector Search).
  • Familiarity with Azure Databricks, Azure OpenAI, or Snowflake Cortex AI.
  • Strong proficiency in Python, SQL, PySpark, and Databricks Notebooks.

Benefits

  • Need GenAI Data Scientist – Databricks certified ML Engineer and work closely with customers.
  • Use case will involve data extract from pdf-based documents.
  • Leverage Databricks native solutions.

Job title

Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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