Senior ML Engineer
TechBiz Global
contract
Posted on:
Location Type: Remote
Location: Poland
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Job Level
Tech Stack
About the role
- 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
- 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
Benefits
- fully remote
- only for candidates based in EU
- b2b contract
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsmachine learningPythonTensorFlowPyTorchscikit-learnCI/CDDockerKubernetescloud platforms
Soft Skills
collaborationcommunication