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

Poste

Temps plein

Permanent

Senior

Développement logiciel

Modalités

Basel, Switzerland

Hybride

Clôture dans 30 jours

Exigences

3+ ans d'exp.

Permis UE/AELE

Langues

Allemand C1

Anglais C1

Description

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:

Responsabilités

Consulting, Engineering & Training
Requirement Analysis
Implementation of Data Pipelines, ML/LLM Integrations, Reliability Engineering & AI/ML Operationalization
Concept Development
Expertise & Thought Leadership
Ownership, Communication, Knowledge Sharing & Teamwork

Exigences

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: Programming languages, Distributed systems (Hadoop, Spark) and data structures, SQL and NoSQL databases, Cloud Services, REST API and microservices, Docker and knowledge of Kubernetes, Agile development methods and CI/CD.
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.

Technologies

SnowflakeDatabricksDataikuIBM WatsonHadoopSparkSQLNoSQLCloud ServicesREST APImicroservicesDockerKubernetes

Avantages

A young and dynamic services company with an experienced, knowledgeable, and passionate team.
An entrepreneurial environment and the chance to have a real impact on the company’s development and growth.
Work on cutting-edge data, AI, and analytics topics that have a real impact across industries.
A culture that is both performance-oriented and customer-driven and at the same time team-oriented, friendly, and supportive, incl. regular knowledge-sharing sessions and team events.
A hybrid working model with flexibility as long as both client (of which most require onsite presence) and internal commitments (i.e., one team office day per week) are met.

Entreprise

Machine Learning Architects Basel (MLAB)

Software

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.