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MLOps Engineer
Fractal
Mumbai, IND
Full Time, Contract
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
DatabricksSparkPythonScalaAzureGitHub Actions
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DatabricksSparkPython
Role Overview
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.
Key Skills for This Role
DatabricksSparkPythonScalaAzureGitHub Actions
Full Job Posting
EL3 – Databricks MLOps Engineer (Contract)
Domain: Claims Payment Integrity | M&R, C&S, E&I Claims (preferred) Actuarial & Forecasting Analytics Exposure is an Added Advantage Tech Stack: Databricks, Spark, Python, Scala, Azure, GitHub Actions, Terraform 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.
Key Responsibilities
- Enable and automate the end-to-end ML lifecycle on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks).
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