Join a growing team delivering practical AI, machine learning, and data-driven solutions that create measurable business impact across industries including life sciences and manufacturing.
In this role, you’ll work on modern GenAI and ML applications, helping clients improve business and production processes through innovative technology solutions.
Key Responsibilities
• Develop and enhance machine learning and generative AI solutions using Python, modern AI/ML frameworks, and LLMs.
• Translate business and technical requirements into scalable AI use cases.
• Conduct exploratory data analysis, model development, prototyping, and feasibility assessments.
• Integrate AI/ML components into existing systems, APIs, services, and pipelines.
• Support and improve MLOps and LLMOps workflows including CI/CD, monitoring, testing, and optimisation.
• Build and maintain APIs, microservices, and data pipelines.
• Contribute to digital transformation and process optimisation projects.
• Mentor team members and take ownership within projects (senior level)
What We’re Looking For
• Degree in Computer Science, Mathematics, Physics, or similar.
• Experience in Data Science, AI Engineering, Data Engineering, or Software Engineering.
• Strong programming skills in Python, Java, C#, or C++.
• Hands-on experience with machine learning, GenAI, and related frameworks/tools.
• Interest in AI-assisted development practices.
• Experience with databases, cloud platforms (AWS/Azure), and modern data technologies such as Databricks, Snowflake, Spark, or Kafka.
• Knowledge of Docker, Git-based CI/CD, and MLOps principles.
• Strong communication skills in German and English.