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Lead ML Engineer (Portugal Based Remote/Hybrid)

swordhealth · 19 days ago
Negotiable
Full-time
Remote
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The main goal of the AI Team is to leverage AI and ML to provide high-quality clinical care at unprecedented levels of personalization and scale. In this regard, in close collaboration with the clinical team, we develop ML-powered features that identify the best course of action for each patient at any given moment or circumstance whilst employing a holistic perspective but also contemplating any relevant nuance. We also work on ensuring the overall experience is as close as possible to a 1:1 session with a Physical Therapist and thus play a crucial role in enabling the AI Care provided by Sword.

Some examples of the work we did so far include a decision support system for managing clinical prescriptions, a classification system that identifies people in need of assistance, and a system that enhances the Physical Therapist context when communicating with the patient. To achieve this, we work with tabular and text data using a combination of classical methods and more recent models (such as LLMs).

As for the near future, our focus will be on taking the degree of personalization and human touch of our AI care to a whole new level by leveraging the most recent developments in the Generative AI field.

What you'll be doing:

  • Lead a team of 1-3 ML Engineers by assigning tasks, overseeing the team’s work, and ensuring the attainment of the set goals;
  • Own the performance review and provision of feedback on your team’s elements;
  • Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development;
  • Foster an inclusive and diverse work environment that empowers individuals;
  • Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users;
  • Share your knowledge and experience of how to build ML systems;
  • Help grow the AI/ML function by defining and promoting best practices.

What you need to have:

  • 5+ years of professional experience in Machine Learning;
  • Previous experience in building and leading a team, nurturing team morale, and supporting the career growth of team members;
  • Experience leading and owning complex and ambiguous projects from ideation to completion/maintenance;
  • Hands-on experience implementing and maintaining production machine learning systems;
  • Solid experience in SQL and Python as well as experience developing production software;
  • Experience providing technical oversight and mentoring colleagues;
  • Ability to learn quickly and dive deep into new problems and fields;
  • Ability to communicate concepts clearly and interface with both technical and non-technical stakeholders;
  • Ability to prioritize and solve issues according to the team’s direction and goals.

Bonus points if you have:

  • Experience working in a fast-paced environment and wearing different hats;
  • Experience building data processing pipelines;
  • Experience using cloud platforms like GCP or AWS.

To ensure you feel good solving a big Human problem, we offer:

  • A stimulating, fast-paced environment with lots of room for creativity;
  • A bright future at a promising high-tech startup company;
  • Career development and growth, with a competitive salary;
  • The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
  • A stimulating environment with room for creativity;
  • A flexible environment where you can control your hours (remotely) with unlimited vacation;
  • Access to our health and well-being program (digital therapist sessions);
  • Remote or Hybrid work policy.

The hiring process:

  • 30-minute call with the recruiter;
  • 30-minute call with an initial screener;
  • 1 take-home assignment (to be delivered within 1 week);
  • 1h general skills and working principles interview;
  • 1h leadership and people management interview;
  • 1h mindset and cultural fit interview.
*Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.

Last updated on Apr 16, 2024

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