Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Ulm, Heidelberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop advanced machine learning and generative AI solutions, work on prototyping, data analysis, and integrate ML models into existing systems.
Job Technologies
Your role in the team
- Development and further development of machine learning and generative AI solutions (e.g., with Python, modern AI/ML frameworks, and LLMs) using modern, AI-powered development tools.
- Analysis of technical and professional requirements as well as translation into actionable use cases.
- Conducting exploratory data analyses, model development, and prototyping, including assessment 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, as well as cost and performance optimization).
- Development and operation of APIs, microservices, and data pipelines.
- Participation in the digitalization of business processes and production facilities.
- Assumption of professional responsibility in projects as well as support and mentoring within the team (at senior level).
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Our expectations of you
Education
- Completed degree in Computer Science, Mathematics, Physics, or a comparable field.
Qualifications
- Very good knowledge of at least one programming language (e.g., Python, Java, C# or C++).
- Knowledge in handling databases and ideally modern data platforms (e.g., Databricks, Snowflake) and Big Data technologies (e.g., Spark, Kafka).
- Excellent German and English skills, as well as enjoyment of teamwork and collaboration with clients.
- Willingness to travel occasionally.
Experience
- Practical experience in Data Science, (Generative) AI Engineering, Data Engineering, or Software Engineering, ideally in a consulting or digitalization context.
- Experience with Machine Learning and Generative AI as well as common frameworks and tools.
- Initial experience and strong interest in AI-assisted development.
- 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 as well as initial experience with LLM-specific topics (e.g., evaluation, prompting, guardrails).
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What we offer
- With us, you have a variety of opportunities for professional and personal development.
- Whether as a technical expert, in project management, or with a view to a future in management – we support you in shaping your individual path and taking responsibility without losing sight of the balance between work and private life.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
HMS
As a Heidelberg-based IT consulting and development company, we have been developing custom BI and analytics solutions for all industries since 1989, with a focus on life sciences and finance.
Description
- Founding Year
- 1989
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
AI Engineer / Data Scientist - Machine Learning & Generative AI
- Location
- Ulm, Heidelberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
