Machine Learning Engineer
Job Description
ResMed, a global leader in healthcare technology, is seeking a Machine Learning Engineer to join their innovative Research and Development team. This role sits at the intersection of healthcare and cutting-edge technology, focusing on revolutionizing Home Medical Equipment (HME) and Durable Medical Equipment (DME) through AI and ML applications.
The position offers an exciting opportunity to work on systems that directly impact patient care and healthcare delivery efficiency. As a Machine Learning Engineer, you'll be responsible for designing and implementing advanced ML systems, from data collection to production deployment, while ensuring compliance with healthcare regulations like HIPAA.
The ideal candidate brings 3+ years of ML experience and strong technical skills in Python, AWS, and modern ML frameworks. You'll work with large-scale healthcare datasets, implement sophisticated ML pipelines, and collaborate with cross-functional teams to deliver innovative solutions that improve patient outcomes.
ResMed offers a supportive and inclusive work environment that emphasizes personal growth and innovation. The company's mission to improve people's lives through better sleep and breathing care provides a meaningful context for your work. Their extensive dataset and commitment to technological advancement make this an ideal role for someone passionate about applying ML to solve real-world healthcare challenges.
The position is based in Bangalore, India, and offers the opportunity to work with global teams while contributing to life-changing healthcare technologies. ResMed's strong market position (NYSE
Responsibilities For Machine Learning Engineer
- Lead design and development of automated data collection, curation, and ML model training systems
- Write production grade code with proper unit test coverage
- Collaborate with cross-functional teams to architect ML solutions
- Drive innovation using deep learning libraries for predictive analytics
- Mentor and provide technical leadership to ML engineers and data scientists
- Build and deploy highly scalable, production-ready ML services
- Research and implement innovative algorithms for healthcare challenges
- Optimize ML pipelines and ensure seamless integration
- Analyze large, distributed datasets
- Ensure models meet healthcare industry standards and compliance
Requirements For Machine Learning Engineer
- Master's or Bachelor's degree in Computer Science, Machine Learning, or related field
- 3+ years of hands-on experience in ML model development
- Strong expertise in Python programming and frameworks like FastAPI, pydantic, pandas, numpy
- Good understanding of Test Driven Development
- Experience with AWS (SageMaker, S3, Lambda, DynamoDB, API Gateway)
- Proficient in building CI/CD pipelines and deploying with Kubernetes
- Expertise in handling large datasets, including Hadoop or Spark
- Advanced understanding of machine learning techniques
- Ability to design end-to-end ML workflows
- Exceptional problem-solving skills
Benefits For Machine Learning Engineer
- Supportive environment focused on people's development
- Opportunity to design, influence, and be innovative
- Work with inclusive global teams
- Support both inside and outside work environment
- Opportunity to make direct positive impact on people's lives
- Culture driven by excellence
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