Data and AI/ML Engineer – m/f/d

Posted 42ds ago

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Job Description

Data and AI/ML Engineer developing scalable data and AI platforms in cloud and on-premise for clients. Engaging in the full development process from requirements gathering to production operations.

Responsibilities:

  • Supports the entire development lifecycle: from requirements gathering through architecture and implementation to production operations.
  • Develops in interdisciplinary teams with clients, colleagues and partners.
  • Designs and implements scalable Data Lakehouse solutions (e.g., on Databricks).
  • Works closely with business and IT stakeholders, translating requirements into data models, pipelines and architectures.
  • Develops, integrates and architecturally designs tailor-made AI applications to automate processes and increase efficiency.
  • Plans and implements data platforms and AI workloads in private and hybrid cloud environments.

Requirements:

  • Proven professional experience.
  • Hands-on experience with concepts such as Data Lakehouse, batch and streaming pipelines, automation, orchestration, validation and data modeling — not just in theory but from real projects.
  • Relevant experience with Databricks and Apache Spark.
  • Experience modeling complex data structures and working with various database technologies.
  • Practical experience in developing and integrating AI models, ideally in production systems.
  • Solid understanding of how to operate AI applications in private cloud environments.
  • Familiarity with topics such as Explainable AI, agent systems, AI in data engineering, digital sovereignty, and Data/AI governance and compliance.

Benefits:

  • Fully remote possible — occasional visits to Stuttgart or Leipzig.
  • Work without the rigid structures of a large corporation.
  • Opportunity to take on responsibility quickly.
  • Active involvement in shaping and further developing our business unit.
  • Friendly working atmosphere.
  • Home office.
  • Subsidized public transport pass (JobTicket) or company bike (Job‑Rad).
  • Fitness subsidy.
  • Regular company and team-building events.
  • A platform to contribute and implement your own ideas.