8 to 10 Years
Key Responsibilities
- Design and implement GenAI and Agentic AI solutions using Databricks Genie, Databricks Agent Bricks, Mosaic AI (model training, evaluation, prompt engineering, RAG)
- Experience Build LLM-powered use cases
- Design and build scalable data pipelines using Databricks, PySpark, and SQL
- Implement Delta Lake, Unity Catalog, and medallion architecture
- Optimize Spark jobs for performance, cost, and scalability
- Perform data ingestion, transformation, and enrichment from multiple sources
- Ensure data quality, reliability, and observability across pipelines
- Support AI/ML workloads by preparing high‑quality, feature‑ready datasets
- Develop and fine-tune LLMs/ML models using Databricks ML flow and Mosaic AI
- Implement prompt engineering, model evaluation, and guardrails for enterprise GenAI use cases
- Integrate AI solutions with enterprise data and business workflows
Navigating Change. Powering Progress. | Reimagining the Future with Birlasoft
Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,000+ professional team committed to upholding the Group's 170-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Social Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.
For further information, visit www.birlasoft.com
