Machine Learning Engineer - Remote

Overview

Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.

In Short

• Be responsible for the entire algorithmic lifecycle - from models training and evaluation infrastructure to implementation in production, monitoring and maintenance.
• Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
• Designing a secured large-scale system that is suitable for sensitive patient data.
• Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
• Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Requirements

• 4+ years of hands-on experience in software engineering (Backend preferably in Python).
• 2+ years of experience in machine learning pipelines on cloud environments.
• Knowledge in statistics and machine learning techniques.
• Proven ability to lead product feature development, from concept to production.
• Experience with large scale, high performance, production environments.
• Experience working with SQL and NoSQL databases.
• Experience in AWS cloud environment.

Benefits

• Bs.c / Ms.c in Computer Science / Software Engineering.
• Experience with ML Frameworks such as PyTorch, TensorFlow and MLFlow.
• Experience with Deep Learning, NLP and LLM pipelines (RAG and agentic systems).