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ML Ops Engineer (Contributor)

03/06/2024
29/10/2024
Permanent - Full Time
Hyderabad
Engineering

Who is Quantium? 

 

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 largest corporations to forge a better, more insightful world. 

Machine Learning Operations Team

As a ML Engineer for India, you will be accountable for working on the technical aspects of product engineering by being hands on, working on the enhancement, maintenance and support of the product on which your team is working, within your technology area. You will be responsible for your own hands-on coding

How will you make an impact?  

  • 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 

The superpowers you’ll be bringing to the team:  

  • 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

What could your Quantium Experience look like? 

 

Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions – but it also means you can think big, outside the box and push your problem-solving skills to the max. 

 

By joining the Quantium team, you’ll get to: 

 

  • Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own. 
  • Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). 
  • Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. 

 

On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include:

 

  • Flexible work arrangements: Achieve work life balance at your own pace with hybrid and flexible work arrangements. 
  • Continuous learning: Our vision is empowering analytics talent to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. 
  • Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year.  

 

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.  

 

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