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Senior ML Engineer
4 meses atrás
What you'll be doing:
Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development; Develop and maintain data processing pipelines for getting the data required to build and evaluate models; 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; Identify and spearhead initiatives for adding AI/ML capabilities to Sword’s products by navigating uncertainty and time-to-value tradeoffs.
What you need to have:
4+ years of professional experience in Machine Learning; Hands-on experience implementing and maintaining production machine learning systems; Solid experience in SQL and Python as well as experience developing production software; Working knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn, etc); Experience leading and owning complex and ambiguous projects from ideation to completion/maintenance; 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 shipping applications using LLMs and Generative AI; 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 mindset and cultural fit interview.