MLOps Engineer

Milpitas, CA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Continuous Delivery
  • Machine Learning (ML)
  • Continuous Integration
  • Databricks
  • Evaluation
  • Docker
  • Data Science
  • Machine Learning Operations (ML Ops)
  • Management
  • Generative Artificial Intelligence (AI)

Summary

Key Skills:

  • Strong hands-on experience with Databricks and MLflow
  • Experience building and maintaining MLOps/LLMOps platforms
  • Cloud expertise in Azure and/or Google Cloud Platform
  • CI/CD pipeline development and automation
  • Model deployment, monitoring, and lifecycle management
  • Kubernetes, Docker, Infrastructure as Code (Terraform preferred)
  • Experience supporting GenAI/LLM applications in production
  • Knowledge of model evaluation, observability, governance, and release management

Responsibilities:

  • Standardize MLOps and LLMOps workflows across teams
  • Build and optimize CI/CD pipelines for ML and GenAI applications
  • Deploy, monitor, and manage models in production environments
  • Establish best practices for MLflow, model governance, and operational excellence
  • Collaborate with data science, platform, and engineering teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10122314
  • Position Id: mlopsca
  • Posted 1 day ago
Contact the job poster
DA

Dipika Anand

Recruiter @ Quality IT Source, LLC
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