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SeniorFull-timePythonRailsAWSAzureData ScienceGitGoAIMLData
Salary Range
$120,000 - $130,000 /year
About the Role
We are looking for a Data Scientist to join Brillio, a leading digital technology service provider. This role focuses on designing and building end-to-end GenAI solutions for BFSI use cases.
Key Responsibilities
- →Design and build end-to-end GenAI solutions for BFSI use cases (RAG, agents)
- →Develop and optimize data ingestion, chunking, embedding, and retrieval pipelines
- →Integrate domain and regulatory requirements into AI/ML solution design
- →Contribute to or implement data lineage-aware pipelines for traceability and audit readiness
- →Develop production-quality Python code and reusable AI/ML components
- →Perform model, prompt, and retrieval evaluation, monitoring, and performance tuning
- →Support client interactions, solution walkthroughs, and technical documentation
- →Mentor junior data scientists and act as a technical owner for assigned AI/GenAI modules
Requirements
- ✓Strong proficiency in Python and SQL, ML, and GenAI pipelines
- ✓Hands-on experience with GenAI / LLM-based systems (RAG, Fine Tuning, agents)
- ✓Solid understanding of retrieval-augmented generation (RAG) architectures and vector databases
- ✓Experience applying ML algorithms (classification, regression, ensembles) on structured BFSI data
- ✓BFSI domain knowledge (banking, risk, fraud, compliance etc)
- ✓Experience with LLM platforms and APIs (OpenAI, Azure OpenAI, AWS Bedrock, etc.)
- ✓Ability to design prompt strategies, guardrails, and evaluation metrics for GenAI systems
- ✓Understanding of data lineage, metadata, and traceability concepts in enterprise systems
- ✓Experience working on cloud-based data and AI platforms (AWS/Azure)
- ✓Strong problem-solving, communication, and stakeholder-facing skills in client environments
