Senior ML & AI Technical Solutions Engineer
Databricks Mosaic · Bengaluru, India
CHECKED 15H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Debug and stabilize production GenAI and ML workloads with AI agent systems.
- Advise diverse customers on Agent Bricks, Vector Search and Model Serving.
- Influence roadmap by partnering with engineering on product improvements.
Ideal candidate
A seasoned ML/AI builder who loves untangling complex production issues and helping customers succeed. Customer-focused, collaborative and excited to use GenAI to amplify team impact.
Requirements
- 8+ years designing, building, and scaling Data, ML, and AI systems in production
- Experience with cloud platforms AWS, Azure, or GCP; Databricks familiarity a plus
- Proficient in data engineering for end-to-end ML training pipelines with Apache Spark
- SME knowledge in feature engineering, model training, monitoring, drift detection and retraining
- Experience building, designing or troubleshooting LLM-based Generative AI applications
- Familiarity with agentic frameworks such as LangChain and LangGraph
- Expertise in context orchestration, prompt design, memory, retrieval and semantic search
- Comprehensive knowledge of MLOps and LLMOps including evaluation and optimization
- Bachelor's or Master's in Computer Science, Engineering or related field or equivalent experience
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration