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Talentvis

Machine Learning Engineer

Talentvis
Singapore · Contract · Associate

Day-to-Day Responsibilities:

  • Building and enhancing the Ray-based compute layer for distributed data processing and model training on Kubernetes.
  • You’ll work closely with the data science and engineering teams to set up and integrate the Ray infrastructure into the existing system.
  • AI Infrastructure Development: Collaborate with the ML Platform team to design and implement a robust AI infrastructure using Ray, enabling scalable data processing and model training. Leverage GitOps practices for managing cloud infrastructure reproducibility on Kubernetes.
  • Observability & Monitoring: Develop observability solutions for Ray, integrating monitoring and alerting capabilities using tools like Datadog, Prometheus, and Grafana. You’ll also contribute to creating operational guides and runbooks.
  • Support for Data Science Teams: Assist data scientists in adopting Ray for their workloads and ensure smooth integration with existing tools and systems.


Required Skills and Qualifications:

  • ML Ops Expertise: Strong understanding of machine learning operations, particularly in distributed computing environments. Experience with frameworks like Ray, Dask, Modin, Beam, Horovod, or Deepspeed is highly desirable.
  • Technical Skills: Proficiency in Python and the broader ML ecosystem.
  • Kubernetes Experience: Solid understanding of Kubernetes, with experience in deploying and managing systems. Familiarity with GitOps tools such as ArgoCD and configuration management tools like Helm and Kustomize is a plus.
  • DevOps & Infrastructure Skills: Background in DevOps practices and Infrastructure as Code (IaC), with knowledge of Terraform or similar tools.
  • Communication Skills: Strong written and verbal communication abilities, with a focus on collaboration and knowledge sharing.


Nice-to-Have:

  • Ray Knowledge: A genuine interest in Ray is critical. Candidates without an interest in Ray will be considered a red flag by the hiring manager.
  • Cloud Providers: Experience with cloud platforms, particularly AWS, is preferred.
  • Incident Response & Security: Basic knowledge of incident response and security principles.

Key Skills

Ranked by relevance

c kubernetes ai ui cloud esp ha incident response devops git configuration management infrastructure as code distributed computing machine learning prometheus terraform deepspeed grafana datadog python scala aws das
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Country Guide

Singapore

High-pay global hub in Asia

Posted
Dec 12, 2024
Type
Contract
Level
Associate
Location
Singapore
Company
Talentvis

Industries

Technology Information Media

Categories

Information Technology

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