Senior MLOps Engineer

We are looking for a skilled and experienced MLOps Engineer to join our team and play a key role in deploying, maintaining, and monitoring machine learning models in production environments. This role requires a solid understanding of cloud-based infrastructure, Databricks, automation, and MLOps best practices. You will collaborate closely with data scientists, engineers, and DevOps teams to ensure scalable, secure, and efficient machine learning operations.
Key Responsibilities:
1. Model Deployment:
• Deploy machine learning models into production environments on Azure, AWS, and Databricks.
• Collaborate with data scientists and engineering teams to integrate ML models into existing business systems and pipelines.
2. Infrastructure Management:
• Set up and manage infrastructure for scalable ML model training and deployment using cloud platforms and Databricks.
• Implement CI/CD pipelines for ML workflows using tools like Azure DevOps, GitHub Actions, and Databrick...