Data Science & Machine Learning Engineer (m/f/d)new

Responsibilities

• Design and optimize ML models for time series forecasting, anomaly detection, and computer vision (e.g., quality inspection)
• Apply advanced techniques such as LSTM, CNN, XGBoost, PCA, clustering, and Explainable AI (e.g., SHAP, LIME)
• Analyze structured and unstructured data from operational and sensor systems
• Develop and maintain robust ML pipelines for training, validation, deployment, and monitoring
• Collaborate with data engineers, solution architects, and IoT/Edge teams to ensure scalable integration
• Use SQL and BI tools (e.g., Power BI) to prepare and visualize large datasets
• Work with cloud platforms (e.g., AWS, Azure, GCP) for model deployment and MLOps lifecycle management

Your Profile:

• 3+ years of hands-on experience developing and deploying ML models in production environments
• Strong Python skills and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficient in data preprocessing, feature engineering, and model validation techniques
• Familiarity with Explainable AI (XAI), data governance, and ethical AI principles
• Solid SQL skills and experience with BI/dashboard tools such as Power BI
• Experience working with cloud-based ML services (e.g., SageMaker, Azure ML, Vertex AI)
• Strong communication skills and ability to explain technical results to both technical and business stakeholders

Preffered Qualifications

• Experience in Industry 4.0, manufacturing, or process automation projects
• Familiarity with real-time/streaming data platforms, time series databases, and tools like Grafana
• Understanding of MLOps pipelines and tools for automated model management and deployment
• Experience with orchestration tools such as Apache Airflow or dbt

Application Process