Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Senior AI Engineer leading the design and deployment of Generative AI solutions at Brillio. Specializing in Databricks and enterprise-grade data integration.
Responsibilities
- 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
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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