ResMed

Machine Learning Ops Engineer

Job · Full-timeIn OfficeBengaluru3-5 years1 opening

About this role

ResMed is hiring for Machine Learning Ops Engineer in Bengaluru. This opening was published by ResMed on their official careers board (Workday) on 4 September 2026 and was confirmed live on 14 September 2026. Job details • Company: ResMed • Role: Machine Learning Ops Engineer • Location: Bengaluru…

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Skills you'll use

PythonSQLMachine LearningAWSKubernetesGitAirflowSnowflakeTerraformJenkinsCI/CDLLM

What you'll do

ResMed’s AI platform powers dozens of data scientists and a growing set of GenAI / Agentic AI products that touch patients, clinicians, and providers worldwide. We run on AWS and Kubernetes, provisioned with Terraform, and shipped through modern CI/CD.
We are looking for AI/ML Platform Engineer whose core is Kubernetes, AWS, Terraform, AI and platform observability — someone who can design, build, and operate the platform end-to-end and instrument it so nothing is a mystery in production. You should also bring an AI working mindset: curious about how ML and agentic workloads run on the platform, comfortable partnering with data scientists and GenAI teams, and eager to grow the platform toward LLMOps and Agentic AI as those workloads scale.

Who can apply

3+ years of engineering experience in a complex, technical environment.
Deep, hands-on Kubernetes in production.
Hands-on AWS — comfortable with 3+ of: EKS, Lambda, EC2, S3, IAM, Networking (VPC, ALB/NLB), RDS, EMR, Glue, Athena, Batch, SageMaker, MWAA/Airflow.
Working command of Terraform — modules, state, reviews, drift.
Platform observability experience: Prometheus, Loki, Grafana and/or Datadog — metrics, logs, dashboards, alerting, SLOs.
Strong production Python (and SQL for data work).
Experience building CI/CD pipelines and APIs end-to-end — GitHub / GitHub Actions, CodePipeline or Jenkins.
Hands-on working experience with an AI/ML platform in production — data science tooling, model lifecycle, feature / inference infrastructure, and self-serve enablement for DS and GenAI teams.
Deploying AI agents / LLM workloads on Kubernetes — containerizing agent workloads, autoscaling (HPA/KEDA), GPU scheduling where needed, secure egress for tool calls, secrets and rate-limit management, and running long-lived / stateful sessions safely.
Exposure to the modern AI / Agentic AI stack is required — working familiarity with at least a few of: an agent framework (LangChain / LangGraph / CrewAI / AutoGen / Strands / Semantic Kernel / PydanticAI), LLM serving (vLLM, KServe, Ray Serve, TGI), a RAG / vector-store setup (OpenSearch, pgvector, Pinecone, Weaviate), LLM observability (Langfuse, LangSmith, Arize Phoenix, OpenTelemetry GenAI), and MCP (Model Context Protocol) for tool integration.

Perks & benefits

A supportive, senior team with real problems and real users. Freedom to design and influence. Global collaboration and open exchange of ideas. And the chance to build a platform whose output shows up — directly — in better sleep, better breathing, and better health for millions of people.ResMed’s AI platform powers dozens of data scientists and a growing set of GenAI / Agentic AI products that touch patients, clinicians, and providers worldwide. We run on AWS and Kubernetes, provisioned with Terraform, and shipped through modern CI/CD.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.

About ResMed

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient…

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