Job Description
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.
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
