AI & MLOps Engineering Consultant (Experienced, German-speaking)

At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns enable our customers to operationalize, scale, and continuously deliver data and AI products beyond the pilot and prototype stages . These patterns and frameworks revolve not only around the latest technologies but also consider role, skills, and process adjustments. We thereby :

• Help our customers realize the full potential of data and AI solutions, from use case identification, over data, and ML platform implementation to integration and testing operation of ML models, LLMs, and other GenAI solutions.
• Design, test, integrate and operate data, model and code pipelines, and end-to-end data / ML / LLM systems (DataOps, MLOps & DevOps).
• Enable technical and non-technical teams and individuals to leverage data science and management, data, ML, and reliability engineering in an end-to-end fashion.

Tasks

Do you want to contribute to our dynamic and growing services company with your Machine Learning, AI, and Software Engineering knowledge? Do you want to act as a thought leader and trusted advisor in the field of AI Engineering ?

We are looking for an experienced and German-speaking AI & MLOps Engineering Consultant who will be involved in the whole lifecycle of projects, both internally and externally :

Requirements

Professional experience (minimum 3 years) as a Machine Learning, AI or Software Engineer focusing on data and ML systems.

Experience with and, ideally, certified in major data and AI platforms (e.g., Snowflake, Databricks, Dataiku, IBM Watson).

Familiarity with DataOps, DevOps, and MLOps best practices and topics such as Data Mesh, Data Lake / Warehouses, and Reliability Engineering.

Familiarity with data engineering, ML, and Generative AI models, frameworks & tools.

Understanding and strong interest in the end-to-end life cycle of projects, code, model, and data pipelines, and working with various stakeholders.

Technical, hands-on experience with at least some of the following :

Experience working in a client-facing or consulting role.

Fluency in  German and English (written and spoken)

Swiss passport or a valid EU / EFTA work permit.

Benefits

At Machine Learning Architects Basel (MLAB) , we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our ‘MLOps journey’ and 'Digital Highway' approach enable our customers to operationalize, scale, and continuously deliver data and AI solutions beyond the pilot and prototype stages .

As part of the Swiss Digital Network (SDN) , we are experienced in developing and managing highly reliable software, infrastructure, and transformation projects. This agile consulting network allows us to collaborate with IT architects, engineers, innovation, quality assurance, and culture experts.