Machine Learning Engineer

Summary

Join Fulcrum, a vibrant IT company, as a ML Engineer with 4+ years of experience to contribute to a transformative healthcare project. This role offers the chance to leverage your expertise in developing machine learning models for bowel sound recognition and predictive analytics. You will collaborate with healthcare professionals and a dynamic team, refining algorithms, managing data, and ensuring clinical applicability. The position requires proficiency in Python, TensorFlow/PyTorch, and experience with large datasets. Fulcrum provides a flexible schedule, remote work options, educational budget, paid time off, medical insurance, and opportunities for professional growth.

Requirements

• 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
• Bachelor's or Master’s in Computer Science or related field
• English level - Upper-Intermediate+

Responsibilities

• Refine bowel sound recognition algorithms to achieve greater accuracy across various environments
• Develop predictive machine learning models to identify bowel health events and disorders
• Utilize audio signal processing techniques, such as noise reduction and sound classification
• Work with clinicians to ensure algorithms meet clinical needs and validate their practical applicability
• Take initiative and confidently manage tasks while navigating ambiguity in a dynamic, fast-paced environment
• Ensure quality and usability of large acoustic and contextual datasets
• Collaborate with hardware engineers, software developers, and medical advisors to align with device capabilities
• Record methodologies and results, contributing to research publications when appropriate

Preferred Qualifications

• Familiarity with healthcare or biomedical applications
• Edge processing and embedded systems deployment
• Cloud infrastructure experience (AWS, GCP, Azure)
• Familiarity with medical device development and regulatory requirements
• Domain Knowledge: Expertise in computer vision, sound algorithms, and Medical Device Product development including meeting regulatory requirements

Benefits

• 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