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Senior ML Engineer

TechBiz Global GmbH · Warszawa, MZ, PL

Actively hiring Posted 3 months ago

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.

Basic qualifications

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

Preferred qualifications

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

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Machine Learning Data Science Mlops Ai
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