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Quantium

ML Ops Engineer (Contributor)

Early Applicant
  • 5 months ago
  • Be among the first 50 applicants

Job Description

Job Type: Permanent - Full Time

Location: Hyderabad

Job Category: Engineering

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,100 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's leading organisations, as we forge a better, more insightful world.

MLOps Resposibilities


  • Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale
  • Take models data scientists build and turn them into a real machine learning production system
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning solutions
  • Apply software engineering rigor and best practices to machine learning pipelines, including CI/CD, automation, etc.
  • Support models with an emphasis on auditability, versioning, and data security
  • Facilitate the development and deployment of proof-of-concept machine learning systems

Skills Required

  • Ability to build MLOps pipelines
  • Ability to design and implement solutions in GCP
  • Experience in Kubeflow Pipelines platform for building and deploying portable, scalable machine learning (ML) workflows
  • Experience in Vertex AI services for building, deploying, and managing machine learning models in the cloud
  • Experience with containerization and Kubernetes
  • Good understanding of Linux for managing servers
  • Automation for deploying machine learning solutions using Python/Bash/Go/Ruby scripting etc.
  • Exposure to machine learning models built using scikit frameworks in Python
  • Exposure to machine learning frameworks such as Keras or PyTorch or Tensorflow
  • Hands-on experience managing or provisioning GPU/CPU clusters, or other large-scale cloud or Linux/Unix systems.
  • Experience embedding monitoring solutions in ML applications
  • Hands on experience developing and training AI/ML models.
  • Proven experience implementing CI/CD on large-scale operational AI pipelines



Quantium's recruitment process involves the collection and use of personal information. Please click on the link Privacy for Quantium's Collection Notice. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.

More Info

Industry:Other

Function:Engineering

Job Type:Permanent Job

Skills Required

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Date Posted: 05/06/2024

Job ID: 80877523

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