MLOps Engineer 9Core ML + MLOps
Fractal Analytics28 days ago
Pune, India +4 moreSenior
Responsibilities
- Automate the end-to-end machine learning lifecycle on Databricks, including environment setup, model workflows, scheduling, and monitoring hooks.
- Build reusable frameworks, templates, and utilities for reproducible and scalable ML development and experimentation.
- Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools.
- Package, version, and deploy ML models into Databricks-managed execution environments.
- Automate training, retraining, evaluation, and scheduled job execution workflows.
- Support machine learning models for classification, forecasting, anomaly detection, NLP, and payment integrity use cases.
- Integrate embedding models, RAG architectures, vector databases, and LangChain agentic workflows for LLM and GenAI solutions.
- Optimize resource usage, runtime configurations, and code execution patterns for ML workloads.
- Convert experimental notebooks into production-ready pipelines in collaboration with Data Scientists.
- Implement controls for environment consistency, dependency management, access control, and model versioning.
- Troubleshoot, debug, and improve ML workload performance.
- Document MLOps standards, templates, guidelines, and best practices.
- Collaborate with product, engineering, analytics, platform, and business stakeholder teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6–9 years of relevant experience in ML Engineering, MLOps, or platform engineering.
- Strong hands-on experience with Databricks, Spark batch and streaming, Python, and Scala.
- Experience with MLflow for experiment tracking, packaging, and model registration.
- Strong CI/CD experience with Git, GitHub Actions, Jenkins, or Azure DevOps.
- Experience deploying AI/ML models into cloud environments, preferably Azure.
- Ability to create and integrate embedding models, semantic vectors, and LLM-driven components.
- Experience with LangChain agentic workflows and tool or function integration.
- Strong problem-solving, debugging, software engineering, packaging, dependency management, and collaboration skills.
- Preferred experience with Azure OpenAI or OpenAI-compatible LLM APIs.
- Healthcare claims, payment integrity, fraud/waste/abuse, provider billing, pricing, call-center, provider RCM, or EHR/clinical data experience is preferred.
- Experience in Agile/Scrum environments is preferred.
Benefits
- Contract position.
- The posting describes a collaborative environment with opportunities to work across product, engineering, analytics, platform, and business teams.
Tech Stack
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