Data and AI Solutions Expert
vor 1 Monat
At Machine Learning Architects Basel (MLAB), we empower organizations to design, build, and operate reliable data and machine learning solutions. Our MLOps journey enables customers to scale and continuously deliver data and AI products beyond the pilot and prototype stages.
Key Responsibilities- We help our clients realize the full potential of data and AI solutions, from use case identification to integration and testing operation of data products, ML models, and LLMs.
- You will contribute to designing, testing, integrating, and operating data, model, and code pipelines, as well as end-to-end data/ML/LLM systems.
We are seeking a Data & MLOps Engineer who will be involved in the whole lifecycle of projects, including consulting, engineering, and training. You will analyze customer requirements, identify best-fit solutions, and implement data pipelines, ML/LLM integrations, reliability engineering, and AI/ML operationalization.
Requirements- A minimum of 3 years' experience as a Data, Machine Learning, or Software Engineer.
- Experience with major data and AI platforms, such as Snowflake, Databricks, and Dataiku, is desirable.
- Familiarity with DataOps, DevOps, and MLOps best practices, as well as topics like Data Mesh, Data Lake/Warehouses, and Reliability Engineering.
- Understanding of data engineering, ML, and Generative AI models, frameworks, and tools.
- A dynamic services company with an experienced team.
- An entrepreneurial environment with opportunities for growth.
- Cutting-edge data, AI, and analytics projects that drive impact across industries.
- A hybrid working model with flexibility.
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