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WIZELINE

Senior ML/AI Engineer

at WIZELINE

Barcelona - Spain



We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Must-have Skills:

  • Strong fundamentals in Software Engineering, with the ability to build secure, scalable, production-grade systems.

  • 4+ years of experience in Machine Learning Engineering or Data Engineering roles.

  • Strong programming skills in Python (or another ML-focused high-level language).

  • Experience designing and deploying Large Language Model (LLM)–powered applications in production environments.

  • Hands-on experience architecting multi-agent systems, including tool-calling and long-term memory strategies to solve complex, non-linear problems.

  • Experience implementing automated evaluation pipelines (e.g., LLM-as-a-judge).

  • Familiarity with optimized vector storage and indexing systems for NLP applications.

  • Experience building and maintaining high-volume data processing pipelines (structured and unstructured data).

  • Familiarity with cloud infrastructure (AWS and/or GCP), Docker, and Git.

  • Experience integrating internal and third-party AI APIs in a reliable and secure manner.

  • Hands-on experience with the LangChain ecosystem (e.g., LangGraph, LangSmith) for prompt management, evaluation, and agent orchestration.

  • Strong collaboration skills to work cross-functionally with data scientists, ML engineers, and product teams.

  • Clear and effective communication skills.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related STEM field (or equivalent practical experience).

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

*Specific benefits are determined by the employment type and location.


Find out more about our culture here.

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