MLOps Engineer

Santa Clara, CA, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Machine Learning
  • MLOPs
  • Python
  • Deep Learning
  • Advanced SQL
  • CI/CD Pipelines
  • Agentic AI

Summary

We are seeking a highly skilled MLOps Engineer to design, deploy, and operationalize machine learning solutions in a production environment. The ideal candidate will have strong expertise in MLOps, Machine Learning, Agentic AI, Deep Learning, Python, and data engineering, with hands-on experience building scalable ML pipelines and deploying models into production.


Key Responsibilities

  • Design, build, deploy, and maintain scalable machine learning pipelines and production ML systems
  • Develop and optimize MLOps workflows for model training, validation, deployment, monitoring, and lifecycle management
  • Build and maintain robust data pipelines to support machine learning and AI applications
  • Deploy machine learning and deep learning models into production environments.

Required Qualifications:

  • Strong hands-on experience with MLOps, Machine Learning, and Python
  • Experience developing and deploying Deep Learning models in production
  • Expertise in designing and managing data pipelines for large-scale ML workload
  • s.Strong proficiency in Advanced SQL
  • Experience with feature engineering, model deployment, and ML lifecycle management
  • Familiarity with Agentic AI concepts and AI application development
  • Experience with CI/CD pipelines, model observability, monitoring, and secure service operatiotions
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: 91099677
  • Position Id: 9006245
  • Posted 10 hours ago
Contact the job poster
Ashish Mahender Rang

Ashish Mahender Rang

Delivery Manager @ Talent Groups
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