Back

AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI

Full time Data Science Data Engineering Big Data Artificial Intelligence Software Engineering Data Warehouse

Job Description

  • Berlin
  • nationwide/remote
  • Düsseldorf
  • Heidelberg
  • Ulm
  • Professional experience
  • Full/Part-time
For over 35 years, we have been helping companies create real added value from data. To achieve this, we develop customized data, AI, and software solutions and, as a specialized boutique service provider, support our clients throughout the entire data-to-value journey – from the initial idea to productive application. In our projects, we combine data engineering, machine learning, generative AI, and software engineering with in-depth industry knowledge and methodological clarity. With over 170 employees, we work on challenging projects in sectors such as life sciences, finance, and manufacturing, developing sustainable solutions together.
As an AI Engineer / Data Scientist (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.

These are 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 functional 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)
  • Development and enhancement of MLOps and LLMOps workflows (versioning, CI/CD, testing, monitoring, evaluation, and 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 professional responsibility in projects as well as providing support and mentoring within the team (at senior level)

This is what you bring with you

  • Completed studies 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
  • Excellent 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 strong interest in AI-assisted development
  • Knowledge of databases and ideally experience with 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)
  • Excellent German and English skills, as well as enjoyment of teamwork and working with customers.
  • Willingness to travel occasionally

With us, you have diverse opportunities for professional and personal development. Whether as a subject matter expert, in project management, or with a view to future management – ​​we support you in shaping your individual path and taking on responsibility without losing sight of the balance between work and private life.

We offer you this

People & Culture: Community and exchange within the company are actively fostered through a variety of events such as company lunches, summer parties, team events, company conferences, and Christmas celebrations. A welcome day and a mentoring program during the onboarding period also contribute to strengthening team cohesion. In addition, we promote team spirit through a substantial profit-sharing scheme distributed among all employees.
Career Development & Knowledge Sharing: The diversity of our (client) projects enables individual career development. A wide range of training opportunities and participation in specialist conferences promote professional growth. An annual knowledge budget of 12 days and knowledge circles support continuous knowledge sharing.
Work-life balance and flexibility: Flexible working hours with a time account, mobile office/hybrid working, workation/sabbatical options, and the possibility of bringing dogs to the office are just some of the benefits we offer for flexibility and quality of life. We also provide support in critical situations with up to 5 paid days off to care for family members who are ill or in need of care.
Financial benefits: Employees benefit from our subsidies for: childcare, food and sports, company pension scheme with non-binding advice, Germany ticket for sustainable travel.
Health & Well-being: Various health initiatives, such as active breaks, ergonomics consultations, flu vaccinations, and eye exams, promote the well-being and long-term health of our employees. Healthy snacks and drinks are, of course, also part of our offering. And to strengthen social interaction, we have established hobby and sports groups that foster not only informal exchange but also 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 business practices.
Diversity is important to us: We expressly welcome applications from people with severe disabilities or those with equivalent status. We are happy to provide support during the application process if needed.
We look forward to receiving your online application as an AI Engineer / Data Scientist (m/f/d) – Machine Learning & Generative AI!
  • Manuela Mayer
  • Human Resources Officer
  • Kai Brodmann
  • Head of Data Science and Business Intelligence
HMS Analytical Software
About HMS Analytical Software

For more than 25 years, we have counselled and supported business companies on winning significant information from their data in order to make the right decisions.

We implement software platforms for business intelligence, data management and data analysis, develop customised programs and applications for the business processes and the IT scope of our customer needs, and offer a wide-ranging support, whether it is through know-how transfer or through the operation of the systems. We aim to offer our customers the best service for business intelligence and analytical systems.

Apply Now