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AI Machine Learning Engineer
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Sword Health is on a mission to revolutionize the healthcare industry by providing personalized and effective pain management solutions. With a strong focus on innovation and technology, we are committed to delivering high-quality clinical care at unprecedented levels of personalization and scale.
Job Description
We are seeking an experienced Senior Machine Learning Engineer to join our AI team in Portugal. As a key member of our team, you will be responsible for leading projects of high scope and ambiguity, defining the roadmap for the team, and contributing to the dissemination of knowledge and experience of how to build ML systems.
Required Skills and Qualifications
To be successful in this role, you will need:
- 6+ years of professional experience in Machine Learning within an AI-oriented company;
- Deep technical knowledge of LLMs and Generative AI as a whole and proven experience shipping applications powered by such technology;
- 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;
- Proficient knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn, etc);
- 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;
- An independent and self-driven approach, demonstrating the capability to work autonomously;
- Robust problem-solving skills coupled with adaptability in handling evolving and conflicting priorities;
- Proven track record in developing software applications that are both scalable and reliable.
Benefits
We offer a stimulating, fast-paced environment with lots of room for creativity, career development and growth, a competitive salary, and the opportunity to work with a talented team to add real value to an innovative solution with the potential to change the future of healthcare. You will also have access to our health and well-being program, remote or hybrid work policy, and flexible hours.
