Mlops Intern

5 days ago

Singapore ResMed Full time

Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.

In this internship, you will join our dynamic and leading-edge MLOps team to build the AI/ML platform for ResMed.

Let’s talk about Responsibilities-
- Work with cross-functional teams and understand how AI/ML platform are developed and maintained at scale.
- Assisting in the deployment of the ML model into AI/ML platform.
- Develop the new ML model deployment and monitoring features as needed.
- Monitor and improve automated solutions to ensure the required quality and performance are met.
- Maintain and support existing platforms and evolve to newer technology stacks and architectures.-
- Implement, document, and present the solution.Let’s talk about Qualifications and Experience

Required:
- Currently pursuing a Bachelor or master’s degree in IT/Engineering/Computer Science/Information Systems/Electrical & Electronic Engineering/Statistics/Mathematics, another quantitative field or equivalent.-
- Proficiency in Python programming skills including standard ML packages (pandas, sklearn etc.)-
- Understanding of ML architecture-
- Possessing good communication skills.-
- Keenness to learn and to collaborate effectively within a team.Preferred:- Showcased ML python projects.
- Experience with or knowledge of cloud computing, preferably AWS.
- Understanding of AWS services like AWS SageMaker, EMR, S3, Lambda, Athena
- Experience with large-scale data transformations and distributed computing (e.g., Spark)
- Experience building Restful APIs-
- Good coding practice (clean, production-grade code, error handling, logging, testing etc.)
- Understanding of production systems (dev/stage/prod, continuous integration & delivery)
- Knowledge of terraform.

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