Job offer
**Senior Data Engineer 100% (m/f/d)**
As a Senior Data Engineer (m/f/d), you will support the development of a Python-based enterprise data hub and the expansion of the MLOps infrastructure to deliver scalable and reliable ML solutions. Your tasks will include automating CI/CD pipelines, developing machine learning models, and monitoring systems.
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 using 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
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