Match score not available

Machine Learning Engineer

Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

4+ years of experience in ML, Background in healthcare technology, Experience with audio signal processing, Familiarity with predictive modeling.

Key responsabilities:

  • Refine bowel sound recognition algorithms
  • Develop predictive machine learning models
  • Utilize audio processing techniques
  • Collaborate with clinicians for practicality
  • Manage tasks independently in a startup

Fulcrum logo
Fulcrum Startup https://fulcrum.rocks/
11 - 50 Employees
See all jobs

Job description

About Fulcrum: We’re a team of tech-savvy, creative and passionate IT professionals. We’ve 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. You’ll 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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

Machine Learning Engineer Related jobs