Machine Learning Engineer / MLOps Engineer -Remote
Focus: Productionize models and build scalable, automated ML pipelines.
Responsibilities
- Convert data science prototypes into production-ready, scalable models and services.
- Develop and maintain automated CI/CD pipelines for model training, testing, deployment, and rollback.
- Implement monitoring, logging, and alerting systems to track model performance, drift, and data anomalies in production.
-Manage model versioning, reproducibility, and containerization (e.g., Docker, Kubernetes).
Requirements:
Immediate joiners preferred.
Keyskills: Docker Ml Deployment Ml Pipelines Kubernetes Automation CI/CD ML flow Python
Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performan...