AI/ML Engineer (Databricks)
DysrupIT (company site, opens in a new tab)3+ yrsBengaluruRemoteDirect career pageEst. 12–22 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and productionize machine learning and Generative AI pipelines on Databricks, moving solutions from notebook experimentation to governed, scalable production.
- Develop reusable templates and accelerators for AI/ML use cases to reduce development time for client deployments.
- Collaborate directly with clients and cross-functional teams to gather requirements, troubleshoot, optimize production workflows, and deliver documentation.
Minimum Requirements
- 3+ years of ML Engineering experience with significant hands-on experience on the Databricks platform.
- Strong Python and PySpark skills with ability to write production-quality Spark jobs.
- Experience delivering production Generative AI or agentic systems including RAG architectures and LLM orchestration tooling.
- Work Experience Required: Minimum 3 years as ML Engineer or similar role.
Ideal Candidate Profile
- Experienced in end-to-end delivery of large-scale consumer or enterprise ML systems such as recommendation, ranking, forecasting, or personalization.
- Skilled in MLflow or equivalent model lifecycle management tools and cloud data platforms like Azure, AWS, or GCP.
- Demonstrated ability to translate client requirements into reliable, governed AI/ML solutions in a consulting or professional services environment.