Machine Learning Engineer, Data Acquisition - Remote

Overview

As a Machine Learning Engineer within the Data Acquisition Team at Zus, you will leverage your ML expertise to develop, deploy, and optimize solutions that enhance healthcare data interoperability.

In Short

• Work on building and running microservices for health data collection.
• Develop and optimize ML solutions in collaboration with software engineering.
• Conduct research on new methodologies and integrate them into products.
• Prototype and test innovations to improve ML models.
• Collaborate cross-functionally with engineers and product managers.
• Ensure data readiness and quality for ML training.
• Take prototypes to production, monitoring and improving models.
• Design metrics and perform error analysis for ML models.
• Utilize cloud services and distributed computing in your work.
• Communicate complex ML concepts effectively to stakeholders.

Requirements

• 3+ years of experience in building and shipping ML models.
• Hands-on experience with LLMs or classical NLP methods.
• Proficiency in Python, with Java or Go as a plus.
• Strong understanding of ML frameworks and libraries.
• Experience designing experiments and analyzing results.
• Familiarity with cloud services (AWS, GCP, Azure).
• Excellent analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Ability to work collaboratively in a team environment.
• Demonstrated curiosity and eagerness to learn.

Benefits

• Opportunity to work in an innovative healthcare data platform.
• Collaborative and supportive team environment.
• Engagement in impactful projects that improve patient insights.
• Potential for professional growth and development.
• Flexible work arrangements.