CodeSlash is looking for a Machine Learning Engineer to join our project!
About CodeSlash: 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.
