Senior Model Production Specialist

2 weeks ago

Hubli, Karnataka, India beBeeMLOps Full time US$ 1,50,000 - US$ 2,50,000
Job Overview

We are seeking an experienced MLOps Engineer to join our team. In this role, you will be responsible for the productionization of models, automation of delivery, and scalability of serving.

Key Responsibilities:
  • Own the development and deployment of machine learning models in a production-ready environment.
  • Build automation pipelines using GitLab CI and Terraform-based infrastructure as code.
  • Engineer scalable serving systems for batch and real-time inference.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with 3+ years of relevant experience.
  • 3+ years of operating ML systems in production (MLOps).
  • Experience with Python for ML engineering and GitLab CI for ML/GenAI.
  • Experience deploying and operating compute for ML and secure data access patterns.
  • Experience implementing MLflow tracking, model registry & governed promotion, packaging & deployment to multi-target runtimes.
  • Experience operating real-time + batch/streaming inference workloads, ML observability, layered testing (unit/integration), workflow orchestration, and cost optimization.
Preferred Qualifications:
  • Advanced GitLab CI and Terraform skills.
  • Experience with real-time serving and SLO-driven rollback/automation.
  • Databricks governance and feature platform approval/reuse workflows.
Benefits:

This is an excellent opportunity to grow your career in a rapidly evolving industry. As an MLOps Engineer, you will have the chance to work on cutting-edge projects, develop your skills, and collaborate with a talented team.

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