(Senior) Consultant (w/m/d) - ML Engineering & MLOps

Job summary

As a (Senior) Consultant in ML Engineering & MLOps, you will develop and operate scalable MLOps and ML infrastructures on modern cloud platforms, ensuring robust AI solutions in production environments and advising clients during presales and project phases.

Benefits

Qualifications

• Degree in (Business) Informatics, Data Science, Mathematics, or a comparable field
• Proficient in Python with experience in ML engineering and model deployment (e.g., Databricks, Azure ML)
• Familiar with Azure, Docker, Kubernetes, and modern CI/CD environments
• Design data architectures and data engineering solutions using technologies like SQL, Spark, Snowflake, or dbt
• Strong communication skills, pragmatism, team spirit, and willingness to learn

Responsibilities

• Develop and operate scalable MLOps and ML infrastructures on modern cloud platforms
• Design and implement efficient data architectures, data pipelines, and deployment processes for productive AI and analytics applications
• Automate, containerize, and orchestrate ML workloads with modern technologies
• Establish monitoring, observability, and quality mechanisms to ensure model performance and data quality
• Advise clients in presales and project phases, design MLOps solutions, and conduct workshops

Skills

Degrees

Relocation