AI Engineer (All Genders)

About Our Client:

Our client is a technology-driven company focused on integrating Artificial Intelligence and Machine Learning into real-world operational systems. Their work combines applied AI with practical software integration, ensuring models are effectively embedded into existing platforms and business processes.

Your Role:

• We are looking for an AI & Machine Learning Engineer to support the development and implementation of AI-based solutions. In this hybrid role (2–3 days on-site in Murnau am Staffelsee), you will focus on building, training, and integrating machine learning models into production systems.
• You will work closely with engineers and technical teams to support the full lifecycle of AI features, from data preparation and model development to deployment and maintenance.

Responsibilities:

Machine Learning Development

• Develop and train machine learning models for real-world use cases.
• Work with structured and time-series/sensor data where applicable.
• Apply standard ML and deep learning techniques to solve applied problems.

Data & Pipelines

• Support the development of data pipelines for training and inference.
• Perform data preprocessing, cleaning, and feature engineering.
• Work with teams to ensure data is structured and usable for ML applications.

Model Integration & Deployment

• Support the integration of ML models into existing software systems.
• Assist in deploying models into production environments.
• Help ensure models run reliably and perform as expected in production.

Collaboration with Engineering Teams

• Work with software engineers and data teams to implement AI features.
• Translate technical requirements into ML solutions.
• Participate in discussions around implementation and feasibility.

Monitoring & Improvement

• Monitor model performance and support improvements over time.
• Assist in debugging and resolving issues related to data or model behavior.
• Contribute to iterative improvements of existing AI features.

What They Offer:

• A hands-on engineering role in a modern and collaborative environment.
• Capital accumulation benefits, EGYM Wellpass, corporate benefits, and JobRad.
• Healthy work-life balance.
• 30 days of vacation, plus additional days off at Christmas, New Year, and Carnival.
• A culture focused on collaboration and practical engineering work.
• Starting salary of 70,000 Euros per year, with an increase after the probation period.

Your Profile:

• Degree in Computer Science, Engineering, Data Science, or similar.
• Experience in Machine Learning or Data Science in applied environments.
• Good understanding of Python and common ML libraries (e.g. PyTorch, TensorFlow, Scikit-learn).
• Familiarity with data handling and basic pipeline concepts.
• Understanding of how ML models are deployed or used in production is a plus.
• Analytical mindset and problem-solving skills.
• Comfortable working in technical teams.
• Fluency in German.

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