MLOps Engineer with Domino experience

Key Responsibilities

Platform Operations & Monitoring

• • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab.
• • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow
• • Interface directly with Domino Data Lab support to resolve model platform-related issues.

Model Deployment into Production

• • Deploy and Maintain ML models in production environments.
• • Ensure models are properly integrated into automated pipelines and meet standards.

Pipeline Maintenance

• • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production.
• • Maintain and support ML pipelines, ensuring stability and scalability.
• • Continuously optimize pipeline performance, resource usage, and automation

Automation & Tooling

• • Implement automation for deployment and monitoring tasks.
• • Contribute to platform improvements.

Required Skills & Experience

• • Extensive experience in Python programming
• • Strong experience with ML model deployment and production monitoring.
• Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance.
• Proficiency in AWS services (like S3, RedShift etc)
• Experience with Grafana for monitoring and alerting.
• Good to have hands-on experience with Domino Data Lab platform.
• Solid understanding of CI/CD pipelines, version control, containerization, and orchestration. • Ability to communicate effectively with internal and external stakeholders. 
• Excellent troubleshooting and incident management skills.