Machine Learning Engineer

About Fulcrum: Were a team of tech-savvy, creative and passionate IT professionals. Weve created a vibrant and performance-driven culture for ourselves where everyone is free to think and act outside the box. There are literally no limits to what you can do here, as long as we WOW our clients and OVER deliver what we promise.

We are looking for a ML Engineer with 4+ years of experience to join a healthcare project. This role provides a chance to leverage your expertise in transformative health tech innovation, driving enhanced clinical outcomes and elevating patient care. Youll collaborate closely with healthcare professionals and an energetic, fast-moving startup team, where independence, creativity, and a proactive mindset are key to tackling complex challenges.

Functionality and main tasks

• Algorithm Refinement: Refine bowel sound recognition algorithms to achieve greater accuracy across various environments.

• Model Development: Develop predictive machine learning models to identify bowel health events and disorders.

• Sound Processing: Utilize audio signal processing techniques, such as noise reduction and sound classification.

• Healthcare Collaboration: Work with clinicians to ensure algorithms meet clinical needs and validate their practical applicability.

• Startup Contribution: Take initiative and confidently manage tasks while navigating ambiguity in a dynamic, fast-paced environment.

• Data Management: Ensure quality and usability of large acoustic and contextual datasets.

• Cross-Functional Work: Collaborate with hardware engineers, software developers, and medical advisors to align with device capabilities.

• Documentation: Record methodologies and results, contributing to research publications when appropriate.

• 4+ years in Machine learning, with hands-on experience in developing algorithms for computer vision, sound analysis, or audio signal processing.
• Proficiency in Python and frameworks like TensorFlow or PyTorch.
• Experience with large datasets and production-grade machine learning models.
• Expertise in audio signal processing techniques such as denoising and feature extraction.
• Familiarity with predictive analytics and time-series data.
• Experience deploying AI models in real-world products.
• Bachelors or Masters in Computer Science or related field.

Familiarity with healthcare or biomedical applications is a plus.

• Edge processing and embedded systems deployment.
• Cloud infrastructure experience (AWS, GCP, Azure).
• Familiarity with medical device development and regulatory requirements is a bonus.
• Domain Knowledge: Expertise in computer vision, sound algorithms, and Medical Device Product development including meeting regulatory requirements is highly desirable.

Interview stages: — Recruiter interview (30 min) — Final call (60 min)

What we offer: — Flexible schedule & opportunity to work remotely or workspace in Kyiv (kooperativ.cc); — Friendly & open team who have fun creating cool projects together; — Every employee has an education budget of 500$ per personal year; — Opportunity to boost your professional & personal growth; — Regular team gathering activities; — 20 business days of paid vacation + UA national holidays; — Medical insurance full coverage; — 10 + 5 days paid sick leave; How we operate: — We promise dramatic professional growth & interesting work; — Bring ideas that will change how Fulcrum operates, and you will receive our gratitude and rewards; — Your opinion matters. Fulcrum is not a typical bureaucratic company, and our employees are our core value; — Your compensation grows with your responsibility zone; — If something doesnt go smoothly or can be simplified, just let us know — you are welcome to do so; — You have a say in everything we do, starting from the roadmap, creating requirements, sprint planning, etc.; — If you feel that everything above is about you, get in touch. Were always glad to welcome stubborn, enthusiastic, and result-oriented buddies to our team.