Senior AI/ML Engineer w/ full professional level of English

Meet your

Loreto Farias
  • English
  • Catalan
  • Spanish

Are you interested in becoming a part of a world-leading company that places a strong emphasis on innovation and supports your professional growth?

As a Senior ML Engineer, you will play a crucial role in the design, development, and deployment of cutting-edge Machine Learning solutions. You will also have the opportunity to create state-of-the-art data products and explore novel ML techniques that drive innovation.

Take the next exciting step and join us in our journey to transform the field of human capital management!


  • Full professional level of English

Main Responsibilities

  • Identify, design, develop & deploy advanced ML solutions
  • Contribute to enhancing the overall ML architecture, infrastructure, and data pipelines
  • Be responsible for crafting and implementing cutting-edge data products, ML models, and systems aimed at optimizing the user experience
  • Work closely with engineering and product teams within an Agile framework
  • Take the lead in defining and promoting best practices to create adaptable, high-performing AI models and systems that continuously evolve and improve
  • Will act as a mentor to the more junior members of the team

Core Skills/experience

  • Hold a bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or an equivalent qualification
  •  Possess 6+ years of experience, honing and developing the relevant skills required for this role, gained through work in a similar or related capacity
  • Have a high level of proficiency in Python, data structures and algorithms, and in deep learning frameworks like PyTorch
  • Experience with AWS cloud solutions like Lambda and SageMaker, as well as expertise in CI/CD tools like Jenkins and non-relational databases (NoSQL)
  • Exposure to platforms like Databricks, MLflow, and Jupyter notebooks

What’s on offer

  • Permanent contract
  • Competitive salary
  • Benefits package: health insurance, life assurance and other interesting perks
  • Hybrid work model (mix of office & home-based)
  • Possibility to grow in an international company

Our recruitment process

  • Step 1: Interview with one of our Recruiters to get to know you better 
  • Step 2:  Phone call with HR 
  • Step 3: Technical Interview with the company's Hiring Manager & Team 
  • Step 4: Final interview