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What you will do
- Enable and automate the end-to-end ML lifecycle on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks).
- Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable.
- Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools.
What you need
- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
- 6–9 years of relevant experience in ML Engineering, MLOps, or platform engineering
- Strong hands-on experience with Databricks, Spark (batch/streaming), Python, Scala
- Experience enabling ML lifecycle tools such as MLflow (tracking, packaging, model registration)
- Strong CI/CD experience using Git, GitHub Actions, Jenkins, or Azure DevOps
- Experience deploying AI/ML models into cloud environments (Azure preferred)
- Ability to create and integrate embedding models, semantic vectors, and LLM-driven components
- Experience with LangChain for agentic workflows and integration of tools/functions
- Strong problem-solving, debugging, and collaboration skills
Nice to have
- Experience with Azure OpenAI or OpenAI-compatible LLM APIs
- Familiarity with healthcare claims workflows, PI, FWA, provider billing, or pricing
- Experience in Agile/Scrum environments
- Strong understanding of software engineering best practices, packaging, dependency management
AI/LLM Capabilities: Embedding Models, LLM Integration, LangChain Agentic Frameworks
Role Summary
The EL3 Databricks MLOps Engineer is a senior hands-on role responsible for enabling end-to-end machine learning lifecycle automation on Databricks. This includes building and maintaining the CI/CD infrastructure, environment configuration, packaging and deploying ML models, supporting reproducible experiments, and ensuring scalable job orchestration for AI/ML workloads, including LLM-based applications.
The role partners closely with Data Scientists, AI/ML Engineers, platform teams, and business stakeholders within Claims Payment Integrity to ensure robust, reliable, and automated ML delivery.
Good-to-Have Data Knowledge
- Call Center datasets (member & provider interactions)
- Provider RCM datasets (billing, coding, authorizations)
- EHR/clinical datasets for cross-domain validation
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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About Fractal Analytics
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job Description
EL3 – Databricks MLOps Engineer (Contract)
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