EL3 – Databricks MLOps Engineer (Contract)

Fractal Labs
Mumbai, Bengaluru, Pune, Chennai, Gurugram, Hyderabad
Workplace: OnsiteContractFunction: DevOps, Cloud & InfrastructureExperience: 6-9 yearsEducation: mastersSkills: ["Problem-solving","Debugging","Collaboration"]

Own end-to-end machine learning lifecycle automation on Databricks, including CI/CD infrastructure, environment configuration, packaging, and deploying ML models. Build reusable frameworks, templates, and utilities to make experimentation reproducible and scalable. Set up automated workflows for training, retraining, evaluation, and scheduled execution while integrating LLM/GenAI capabilities such as embeddings, RAG architectures, vector databases, and LangChain agentic workflows.

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FursaFursa
Fractal Labs
Fractal Labs
2 months ago

EL3 – Databricks MLOps Engineer (Contract)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Own end-to-end machine learning lifecycle automation on Databricks, including CI/CD infrastructure, environment configuration, packaging, and deploying ML models. Build reusable frameworks, templates, and utilities to make experimentation reproducible and scalable. Set up automated workflows for training, retraining, evaluation, and scheduled execution while integrating LLM/GenAI capabilities such as embeddings, RAG architectures, vector databases, and LangChain agentic workflows.
Location: Mumbai, Bengaluru, Pune, Chennai, Gurugram, Hyderabad
Workplace: Onsite
Employment Type: Contract
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Enable and automate the end-to-end ML lifecycle on Databricks, including environment setup, workflow automation, job scheduling, and monitoring hooks.
  • •Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable.
  • •Implement CI/CD pipelines and manage packaging, versioning, and deployment of ML models into Databricks execution environments.
  • •Set up automated workflows for training, retraining, evaluation, and scheduled job execution, optimizing runtime configurations and resource usage.
  • •Collaborate with Data Scientists and teams to translate notebooks into production-ready pipelines and integrate LLM/GenAI solutions (embeddings, RAG, vector databases, LangChain agentic workflows).

Key Requirements

  • •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.
  • •Hands-on experience with Databricks, Spark (batch/streaming), Python, and 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).
Experience:6-9 yearsMachine learningMLOpsAI/LLMLLM-driven applications
Education:Master's
Skills:Problem-solvingDebuggingCollaboration
Tech Stack:DatabricksSparkPythonScalaAzureGitHub ActionsTerraformGitJenkinsAzure DevOpsMLflowLangChainLangChain agentic workflowsLLMLLM integrationRAGVector databases

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn