Machine Learning Operations Engineer

2 days ago


Gurgaon, Haryana, India beBeeMloper Full time ₹ 12,00,000 - ₹ 25,00,000
Scaling Machine Learning Infrastructure: A Cutting-Edge Opportunity

 Job Summary :

  We are seeking an experienced ML Platform Specialist to join our team. As a key member of the organization, you will be responsible for designing and deploying scalable machine learning infrastructure with a strong focus on Databricks, model lifecycle, and MLOps practices.

 Key Responsibilities :

  - Designing and implementing scalable ML infrastructure on Databricks Lakehouse

  - Building CI/CD pipelines and workflows for machine learning lifecycle
  - Managing model monitoring, versioning, and registry using MLflow and Databricks
  - Collaborating with cross-functional teams to optimize machine learning workflows
  - Driving continuous improvement in MLOps and automation strategies

 Requirements :

  - Bachelor's or Master's degree in Computer Science, ML, Data Engineering, or related field
  - 3-5 years of experience in MLOps, with strong expertise in Databricks and Azure ML
  - Proficient in Python, PySpark, MLflow, Delta Lake, and Databricks Feature Store
  - Hands-on experience with cloud platforms (Azure/AWS/GCP), CI/CD, Git
  - Knowledge of Terraform, Kubernetes, Azure DevOps, and distributed computing is a plus

 What We Offer :

  - Competitive compensation package
  - Opportunities for growth and professional development
  - Collaborative and innovative work environment



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