Let’s talk about the Team
The ResMed SaaS R&D team is looking for a Machine Learning Engineer to work on products that change the way technology is used to deliver healthcare. Do you want to build amazing products and tackle complex questions? At ResMed SaaS, you’ll have the opportunity to do just that. As a member of the ResMed SaaS ML & AI Team, you’ll be creating ways to provide better care for the aging population. See your work improve healthcare each day!
Let's talk about the Role
Mentor and provide technical guidance to other members of the team
Design and implement systems for automatic data collection and curation and model training
Interact with the product/UX team to architect ML solutions
Utilize bleeding edge deep learning methods and libraries
Ability to partner effectively with Product Engineering, Data Science, PM, DevOps, QE and other developers to design and implement meeting the spirit of requirements
Manage and process large datasets
Work closely with key partners to understand business problems, and then research, develop, and deploy analytical solutions
Analyze diverse sources of data, and implement innovative algorithms to realize actionable results
Learn and use advanced technologies like CUDA, OpenCL, OpenMP, Distributed Systems
Develop services that will be deployed as highly scalable production services
Strive to produce high quality ML models and programs, and methodically test/measure/improve performance both offline and online
Let's talk about You
Master's/Bachelor’s Degree in computer science or equivalent educational background
At least 4 years of experience working with data pipelines, feature engineering pipelines, ML model development
Experience in Snowflake Data Warehouse, SQL, Python, FastAPI framework.
Knowledge in CI/CD pipelines, Kubernetes or equivalent deployment technologies
Experience in AWS (Sagemaker, Postgres, DocumentDB, DynamoDB, S3, Lambda, ECR, EKS, ECS, API Gateway, RDS etc.,)
Additional Plus
Experience in the Healthcare Industry a big plus
Experience in Data Engineering
Experience in ML Devops
Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.