AI & MLOps Engineering Consultant (Experienced, German-speaking)
Tasks
- Analyze customer requirements
- Apply DataOps MLOps and DevOps best practices
- Conduct consulting for AI engineering projects
- Design data and machine learning solution concepts
- Ensure traceability reliability scalability measurability and automation
- Implement data pipelines and ML LLM integrations
- Integrate and test models and software
- Operationalize ML and GenAI systems in production
- Present results to stakeholders
- Share knowledge and collaborate with teams
Perks/Benefits
Skills/Tech-stack
Agile Development | CI/CD | Cloud services | Data Engineering | Data mesh | DataOps | Databricks | Dataiku | DevOps | Distributed Systems | Docker | Generative AI | Hadoop | IBM Watson | Kubernetes | LLMs | MLOps | Machine Learning | Microservices | NoSQL | REST API | Reliability Engineering | SQL | Snowflake | Spark
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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