Data and AI Solutions Architect
Vor 7 Tagen
At MLAB, we empower organizations to design, build, and operate reliable data and machine learning solutions. Our approach enables customers to operationalize, scale, and continuously deliver data and AI products beyond the pilot and prototype stages.
Job DescriptionWe are seeking a Data & MLOps Engineer to join our team. As a key member, you will be involved in the entire project lifecycle, from consulting and engineering to training and implementation.
Key Responsibilities- Consult with clients to understand their data and AI needs and develop tailored solutions.
- Analyze customer requirements and identify best-fit solutions.
- Implement data pipelines, ML/LLM integrations, and reliability engineering to deliver high-quality data and AI products.
- Contribute to solution blueprints and concepts, such as our 'Digital Highway for Data & ML systems'.
- Develop expertise and thought leadership in DataOps and MLOps.
- Collaborate with cross-functional teams to deliver projects and share knowledge.
- Minimum 3 years of experience as a Data, Machine Learning, or Software Engineer.
- Experience with major data and AI platforms, such as Snowflake, Databricks, and Dataiku.
- Familiarity with DataOps, DevOps, and MLOps best practices, as well as topics like Data Mesh and Reliability Engineering.
- Strong understanding of data engineering, ML, and Generative AI models, frameworks, and tools.
- Excellent communication and teamwork skills.
- Fluency in German and English (written and spoken).
- Swiss passport or a valid EU/EFTA work permit.
- Join a young and dynamic services company with an experienced team.
- Work on cutting-edge data, AI, and analytics topics with a real impact across industries.
- Enjoy a hybrid working model with flexibility and regular knowledge-sharing sessions.
- Be part of a team-oriented, friendly, and supportive culture.
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