**Senior Data Engineer 100% (m/f/d)**

Job description

Tasks

• Development, training, and evaluation of machine learning models (e.g., with scikit-learn, xgboost, PyTorch) in close collaboration with data scientists
• Orchestration of end-to-end ML workflows, including preprocessing, training, hyperparameter tuning, and model validation
• Deployment and provisioning of models in production using containerized microservices (Docker/K8s) and REST/gRPC APIs
• Managing the MLOps lifecycle with tools such as MLflow (experiment tracking, model registry) and implementing monitoring for drift, degradation, and performance
• Refactoring exploratory code (e.g., Jupyter notebooks) into robust, testable, and versioned production pipelines
• Collaborate with data engineers to deploy and optimize the data hub to ensure reliable data flows for training and inference
• Troubleshooting operational issues across infrastructure, data, and model layers; participating in incident response and root cause analysis

Requirements

Profile

• Technical skills: Strong skills in Python, Linux, CI/CD, Docker, Kubernetes, and MLOps tools (e.g., MLflow). Hands-on experience with Oracle databases, SQL, and ML frameworks.
• ML engineering aptitude: Ability to manage the entire ML lifecycle—from training and evaluation to deployment and monitoring—with attention to reproducibility and compliance
• Automation and reliability: Commitment to building stable, self-healing systems with proactive monitoring and automated recovery
• Collaboration and communication: Effective team player in agile, cross-functional environments; able to communicate clearly to technical and non-technical audiences

Education and skills

• Education: Bachelor of Science (BS) in computer science, engineering, data science, or a related field. Certifications such as CKA, AWS/Azure DevOps Engineer, or Google Cloud Professional DevOps Engineer are a plus.
• Technical skills:
  • Python, Git, and Shell Scripting
  • Experience with CI/CD pipelines (GitLab, Jenkins), Docker, and Kubernetes
• Language skills: English is required

We offer

No specific benefits or offers mentioned in the text.