Machine Learning Specialist [Junior] Porto, PT
DEUS: human(ity)-centered AI
Porto, Porto District
há 1 dia

Are you obsessed with the possibilities of the emerging fields of artificial intelligence? Do you believe we can design & develop our own futures?

Are you proactive and passionate?

We’re looking for an aspiring ML specialist (graduate / junior) who has a talent for problem solving, a keen interest in technology, and wants to help deliver real world solutions.

Who are we?

We are the DEUS initiative, and we are all about exploring AI in the service of humanity. No, we are not calling ourselves gods(!), but our name is a reference to deus ex machina’ (god from the machine in Latin).

We believe that artificial intelligence technologies such as machine learning, computer vision and natural language processing will have a massive impact on the way we live, and we want to make sure that we create a positive impact on the world with these AI services.

As a happy coincidence, DEUS is also an acronym representing the 4 key disciplines we believe are important to building successful AI services : D ata / E ngineering / U ser-experience design / S trategy.

DEUS is a new initiative, but the founders have been working together for years so there is a family feel to the company.

Who are you?

  • You have a degree in Computer Science, Artificial Intelligence, or related field, knowledge of machine learning algorithms and paradigms, and are looking to gain more experience through hands-on machine learning projects.
  • You are interested in exploring the state-of-the-art technology in machine learning, and applying it to optimise processes in industry and beyond.
  • Together with the engineering team we are working on projects for industrial clients that use natural language processing (search, question answering, and text categorisation) and computer vision.

    We are also actively exploring recent developments in fair machine learning, to bridge the gap between research and industry.

  • You’ll join a small but fast-growing data science team (the D in DEUS), responsible for methodology and implementation of various AI projects.
  • Some examples of tasks would be reviewing literature, setting up experiments, conducting error analysis, contributing to the code base, and collaborating closely with other teams to make things happen.

  • and some more points :
  • Excellent written and verbal English; Dutch and any other languages are always a bonus
  • Working experience with at least one machine learning framework (e.g., TensorFlow, PyTorch, scikit-learn)
  • Programming experience (e.g., Python)
  • Bonus points for previous experience with databases, cloud computing, version control, best practices in software development
  • Knowledge of ML fundamentals, an interest in NLP and computer vision applications
  • We will provide top hardware macbook pro etc and the latest software we use the right tools for the job.
  • note : If you don’t feel that you perfectly fit the description above, but you have some other background or skillset that you think could be of interest, please still get in touch!

    We are dedicated to making a friendly and inclusive workplace. To put it bluntly, there is an unwritten no assholes’ policy that applies to both ourselves and our clients, as we always want to enjoy our team dynamic.

    We do trips, conferences and events together on a regular basis, and we are always committed to cultivating a company that embraces differences.

    We strongly believe in flexibility, and you will be given a lot of freedom while translating complicated problems into easy-to-use products.

    This means managing your own priorities, trying out new things and working a flexible hours’ scheme. Given the present COVID-19 situation, you’ll start working remotely.

    We are having regular meetings, discussions and online fun activities, and are hoping to be back in the office once the situation is under control.

    If this all sounds interesting to you, then hit that Apply Now button in the top right corner! We would love to hear from you!

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