Data Scientist / AI Engineer (mwd)

About Us

Our success story in software analytics, spanning over 35 years, demonstrates our expertise in creating data-driven business models. By synthesizing data engineering, machine learning, and software engineering, we help companies generate added value from their data. Our over 160 employees are driving digital modernization in the manufacturing, finance, and life science industries, paving the way for an economy based on knowledge, technology, and responsibility.

As a Data Scientist / AI Engineer (m/f/d), you will work in a team on practical GenAI, machine learning, and data science solutions. In collaboration with our clients, you will develop applications that sustainably improve business and production processes and create real added value.

Your Tasks

• Development and further development of machine learning and generative AI solutions (e.g. with Python, modern AI/ML frameworks and LLMs) using modern, AI-supported development tools
• Analysis of business and technical requirements and translation into actionable use cases
• Conducting exploratory data analyses, model development and prototyping, including evaluation of benefits, risks, and feasibility
• Integration of data science, ML, and GenAI components into existing IT and system landscapes (models, APIs, services, pipelines)
• Building and further developing MLOps and LLMOps workflows (versioning, CI/CD, testing, monitoring, evaluation, cost and performance optimization)
• Development and operation of APIs, microservices, and data pipelines
• Participation in the digitalization of business processes and production facilities
• Taking on technical responsibility in projects and providing support and mentoring within the team (for senior level)

What You Bring

• Completed degree in computer science, mathematics, physics, or a comparable field
• Practical experience in data science, (generative) AI engineering, data engineering, or software engineering, ideally in a consulting or digitalization context
• Very good knowledge of at least one programming language (e.g. Python, Java, C# or C++)
• Experience with machine learning and generative AI as well as common frameworks and tools
• Initial experience and high interest in AI-assisted development
• Knowledge of databases and ideally modern data platforms (e.g. Databricks, Snowflake) and big data technologies (e.g. Spark, Kafka)
• Experience with cloud technologies (e.g. AWS, Azure) in the context of ML/AI applications
• Experience with containerization (e.g. Docker) and Git-based CI/CD processes
• Understanding of MLOps principles and initial experience with LLM-specific topics (e.g. evaluation, prompting, guardrails)
• Very good German and English skills, as well as enjoyment of teamwork and customer collaboration
• Willingness to travel occasionally

What We Offer

We offer diverse opportunities for professional and personal development. Whether as a technical expert, in project management, or prospectively in management – we support you in shaping your individual path and taking responsibility without losing sight of the balance between work and private life.

People & Culture: The community and exchange within the company are actively promoted through various events such as company lunches, summer parties, team events, company conferences, and Christmas parties. A Welcome Day and a mentorship program during the onboarding period also contribute to strengthening team cohesion.

Career Development & Knowledge Exchange: The diversity of our (client) projects enables individual career development. Various training offers and participation in industry conferences promote professional growth. Knowledge circles also support continuous knowledge exchange.

Work-Life Balance & Flexibility: Flexible working hours with a working time account, mobile office/hybrid working, and the option to bring dogs to the office are just part of our offering for flexibility and quality of life. We also provide support in critical situations with up to 5 paid leave days to care for sick or elderly family members.

Financial Benefits: Employees benefit from our subsidies for: childcare, food, and sports, as well as the Deutschlandticket for sustainable travel.

Health & Well-being: Various health measures such as active breaks, ergonomics consultation, flu vaccination, and eye doctor examinations promote employee well-being and long-term health. Healthy snacks and drinks are also part of our offering. To strengthen social interaction, we have established hobby and sports groups that foster casual exchange and team cohesion.

Social Responsibility & Sustainability: Through the HuManS Foundation, we strive to make a positive contribution to society. Our climate initiative and environmental program are committed to sustainable corporate practices.

We look forward to your online application as an AI Engineer / Data Scientist (m/f/d) – Machine Learning & Generative AI!