ML Ops Engineer

Responsibilities

• Design, implement, and manage end-to-end ML pipelines for model training, testing, and deployment
• Deploy and maintain machine learning models in production environments
• Develop and optimize data pipelines using SQL
• Work closely with Data Scientists and Data Engineers to operationalize ML models
• Build and maintain CI/CD pipelines for ML workflows
• Monitor model performance and ensure scalability and reliability
• Utilize Databricks for data engineering, model development, and deployment
• Ensure best practices in data governance, versioning, and reproducibility
• Troubleshoot and resolve production issues efficiently

Requirements

• Strong experience in ML Ops (Model Deployment, Monitoring, CI/CD)
• Hands-on experience with Databricks
• Strong SQL expertise for data manipulation and pipeline development
• Experience with cloud platforms (AWS/Azure/GCP)
• 4+ years of relevant experience in ML Ops, Data Engineering, or ML Engineering
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

About the Company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.