Description

About the Role
We are seeking a highly skilled ML Ops Engineer to design, deploy, and manage scalable machine learning solutions in a cloud-first environment. This role focuses on bridging the gap between data science and production by ensuring seamless model deployment, monitoring, and optimization.

What You’ll Do
Design, develop, and deploy end-to-end ML pipelines
Manage the complete ML lifecycle from experimentation to production
Build scalable data pipelines using PySpark / Spark
Work extensively with Azure Databricks, ADF, and Azure DevOps
Implement and enhance CI/CD pipelines for ML workflows
Collaborate with cross-functional teams to solve real-world business problems

Core Skills Required
Strong hands-on experience in Python
Expertise in Azure ecosystem (Databricks, ADF, Azure DevOps)
Experience with PySpark / Spark
Solid understanding of Machine Learning & Data Science concepts
Hands-on experience with Git
Excellent communication skills

Nice to Have
Experience with CI/CD pipeline creation
Exposure to MLflow & Unity Catalog

Key Skills

Education

Any Graduate