Role & responsibilities
Machine Learning Engineer / MLOps Engineer -
Remote Focus: Productionize models and build scalable, automated ML pipelines.
What You Get to Do Every Day (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:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
Proven experience in designing and implementing AI/ML models.
Proficiency in programming languages such as Python, R, or Java.
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with CI/CD pipelines and tools..
Experience with containerization technologies (e.g., Docker, Kubernetes).

Keyskills: MLOps AI/ML CI/CD Model Development
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...