AI Resume Builder
JOIN NOW Post Job
Resmed
AI

Machine Learning Engineer

Resmed · Bengaluru, India

Actively hiring Posted 6 months ago

Let s talk about the Team

The ResMed SaaS RD 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 questionsAt 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!

Lets 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

Lets talk about You

  • Masters/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.

Tags & focus areas

Used for matching and alerts on DevFound
Computer Science Product Engineering Analytical Devops Machine Learning Data Collection Healthcare Distribution System Ai Deep Learning
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support