Permanent
Start: As soon as possible
Job-ID: 9775
In this role, I lead the advancement of AI and MLOps across the entire organization.
What makes this job interesting for me: 50Hertz has been committed to the energy transition for a long time. The Data Science team is directly driving the digital transformation within the company. In my role, I am responsible for the development and secure operation of AI-based solutions. In this environment, I have the opportunity to continuously enhance my expertise through collaboration with specialists.
My Responsibilities:
* Development and Maintenance: Writing clean, efficient, and scalable Python code for machine learning applications,
* Service Management: Monitoring and maintaining ML models in production environments, including on-call duties (24/7),
* Data Processing: Preparing, cleaning, and transforming data to ensure high-quality datasets,
* Integration and Deployment: Optimizing ML workflows for deployment in production environments,
* Collaboration: Working with Data Scientists, ML Engineers, and Data Engineers to implement solutions,
* Documentation: Maintaining comprehensive documentation of codes, processes, and models,
* Actively Engage in Data Chapter: Sharing results within Chapters, Product Clusters, and possibly conferences; coordinating interfaces and standards within the Elia Group,
* Ambassador for AI and MLOps: Staying updated on AI and Advanced Analytics techniques.
My Competences:
* Experience: 5+ years in a related role in Data Science/Engineering,
* Programming Skills: Strong knowledge of Python and its libraries/frameworks (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Flask/FastAPI),
* Machine Learning Expertise: Practical experience with ML algorithms, data preprocessing, feature engineering, and model evaluation,
* Operational Skills: Knowledge of monitoring tools for ML services (Prometheus, Grafana),
* Problem Solving: Strong debugging and troubleshooting skills,
* Data Processing: Experience with large datasets and databases (SQL, MongoDB),
* Version Control: Familiarity with Git and collaborative development workflows,
* Cloud Platforms: Experience with cloud services (AWS SageMaker, Google Cloud AI, Azure ML),
* Communication Skills: Ability to explain technical concepts to both technical and non-technical stakeholders.
Additional Preferences:
* Understanding of Kafka,
* Experience with MLFlow,
* Experience with AzureML.
Flexi Compass - see how flexible this vacancy is
* Working hours per week: 37 hours (full time),
* Flexible working hours and a long-term working time account supporting your work-life-balance,
* The number of flex days is not limited,
* No core working hours,
* Mobile working, also from home, is possible.
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