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Senior AI & Data Specialist

We're looking for a Senior AI & Data Specialist to own the strategy, design and implementation of solutions built on Artificial Intelligence and data analytics. The goal is to spot opportunities, optimise processes and drive a data-driven culture, so that data becomes the answer to a business problem.

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Role and responsibilities

  • AI/Data strategy and architecture: design and validate scalable, secure data and AI architectures aligned with business needs.
  • AI solution development: build Machine Learning, Deep Learning and Generative AI solutions such as LLMs, RAG or conversational agents.
  • Data management and pipelines: oversee and optimise data flows (ETL/ELT), ensuring data quality, governance and availability for analysis and inference.
  • Technology evaluation and selection: research, propose and adopt new tools, frameworks and vendors from the AI and Data ecosystem.
  • Engineering practice: uphold good software engineering, MLOps and CI/CD-for-data practices.

What we're looking for

  • University degree: in Computer Engineering, Mathematics, Statistics or similar, and at least 3 years in Data Science, Machine Learning Engineering or AI solution development roles in production environments.
  • Python: fluency in the language and its data and AI libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow).
  • Databases: solid knowledge of SQL (PostgreSQL, MySQL) and NoSQL databases, plus Data Warehousing concepts (Snowflake, BigQuery, Redshift).
  • Generative AI and LLMs: hands-on experience integrating AI APIs (OpenAI, Anthropic, Hugging Face, etc.), RAG architectures, vector databases and frameworks.
  • Cloud and MLOps: experience with at least one cloud platform (AWS, GCP or Azure) and MLOps tooling.
  • Version control: fluent with Git.

Soft skills

  • Able to communicate with technical and non-technical audiences.
  • Analytical thinking, a critical eye and a problem-solving mindset.
  • Proactive, and able to prioritise across several fast-moving projects.

Apply

Three quick questions and your CV as a PDF. A person on the team reads it, with help from an AI.