Senior ML Engineer

Confidential

Remote job permanent

Posted: March 10, 2026

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Quick Summary

Build, maintain, and optimize end-to-end MLOps pipelines for machine learning workflows, deploying, monitoring, and scaling machine learning models in production environments. Implement CI/CD pipelines for ML workflows and model lifecycle management. Manage and optimize ML infrastructure.

Required Skills

Machine Learning MLOps Python TensorFlow PyTorch scikit-learn Docker Kubernetes AWS GCP MLOps platforms

Job Description

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior ML Engineer to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Responsibilities:

• Build, maintain, and optimize end-to-end MLOps pipelines for machine learning workflows.

• Deploy, monitor, and scale machine learning models in production environments.

• Implement CI/CD pipelines for ML workflows and model lifecycle management.

• Manage and optimize ML infrastructure using Docker, Kubernetes, and cloud platforms.

• Collaborate closely with Data Scientists and Engineering teams to productionize ML models.

• Ensure reliability, monitoring, and performance of ML systems in production.

• Maintain best practices for model versioning, experiment tracking, and reproducibility.

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