Senior ML Engineer

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.

Job requirements

Must-Have:

• Senior-level experience in Machine Learning / MLOps engineering
• Strong programming skills in Python
• Hands-on experience with ML frameworks such as:
  • TensorFlow
  • PyTorch
  • scikit-learn
• Experience with MLOps platforms/tools such as:
  • MLflow
  • Kubeflow
  • TFX or similar
• Experience implementing CI/CD pipelines using tools such as:
  • Jenkins
  • GitLab CI
  • CircleCI
• Strong experience with containerization and orchestration:
  • Docker
  • Kubernetes
• Experience deploying and managing ML solutions on cloud platforms (AWS, GCP, or Azure)
   

Nice to Have:

• Experience with big data technologies such as:
  • Apache Spark
  • Hadoop
  • Kafka
• Experience with data visualization tools:
  • Tableau
  • Power BI