sedevo IT Consulting GmbH

Machine Learning Engineer

• With your technical expertise you will accompany the entire development process: from requirements gathering through architecture and implementation to production operation.
• In interdisciplinary teams with clients, colleagues and partners you will develop well-founded and sustainable solution approaches.
• Regular training and expanding your own skills, including beyond your core area, are part of your daily work.
• You will design and implement scalable Data-Lakehouse solutions (e.g. on Databricks) in close collaboration with business and IT stakeholders.
• You select appropriate approaches: from classical Machine/Deep Learning to Large Language Models (LLMs) and agent systems, and integrate models into existing data and application landscapes.
• You plan and implement data platforms and AI workloads in private and, where applicable, hybrid cloud environments, taking data privacy, compliance and regulatory requirements into account.

Data and AI/ML Engineer

• 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.

Data and AI/ML Engineer

Data and AI/ML Engineer – m/f/d