Data & MLOps Engineer (Experienced) - Data Science Expert

vor 2 Monaten

Basel, Basel-Stadt, Schweiz Machine Learning Architects Basel (MLAB) Vollzeit
About the Role

We are seeking a highly skilled Data & MLOps Engineer to join our team at Machine Learning Architects Basel (MLAB). As a key member of our team, you will be responsible for designing, building, and operating reliable data and machine learning solutions for our clients.

Key Responsibilities
  • Consulting and Engineering: Collaborate with clients to understand their data and AI needs, and deliver impactful services that meet their requirements.
  • Requirement Analysis: Analyze client requirements and identify best-fit solutions for their data and AI projects.
  • Implementation: Implement data pipelines, ML/LLM integrations, reliability engineering, and AI/ML operationalization to deliver data and machine learning projects from prototype to production.
  • Concept Development: Contribute to the development of solution blueprints and concepts, such as our 'Digital Highway for Data & ML systems'.
  • Expertise and Thought Leadership: Stay up-to-date with the latest data and AI trends and technologies, and provide expert advice to clients and internal stakeholders.
  • Ownership, Communication, Knowledge Sharing, and Teamwork: Take ownership of your work, present results to stakeholders, share knowledge, and collaborate with internal and client teams.
Requirements
  • 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 such as Data Mesh, Data Lake/Warehouses, and Reliability Engineering.
  • Familiarity with data engineering, ML, and Generative AI models, frameworks, and tools.
  • Understanding of the end-to-end life cycle of projects, code, model, and data pipelines, and working with various stakeholders.
  • Technical experience with programming languages, distributed systems, SQL and NoSQL databases, cloud services, REST API, microservices, Docker, and Kubernetes.
  • 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.
What We Offer
  • A dynamic and entrepreneurial environment with a passionate team.
  • The opportunity to 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.
  • A hybrid working model with flexibility.

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