Role overview
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.
What we're looking for
- 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.
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)
- Experience with big data technologies such as:
- Apache Spark
- Hadoop
- Kafka
- Experience with data visualization tools:
- Tableau
- Power BI
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Data Science Mlops Ai