Page Garment Exports Pvt. Ltd. jobs - Devops - ML

Bullet points An opportunity to work with one of the largest trading organisations globally A chance to gain exposure in a global role About Our Client Our client is one of the largest multi commodity trading companies in the world with a turnover in excess of $175 Bn. They are present across 40 countries and caters to customers globally. They are now looking for a Machine Learning Ops (MLOps)engineer to support the ongoing design, development and management of a unified data and analytics platform on AWS. Job Description

Ideal candidate DevOps specialist/system engineer

Focus on deployment (experience with machine learning)

AWS tools - sagemaker (AWS is very important)

Knowledge of ansible, kubernetes, dockers

Candidate should understand cloud environment including broader spectrum of AWS components

Large part of job will revolve with data science

Candidate will support in system and platform engineering activities in AWS

Candidate should understand data science lifecycle

Candidate will not implement data science models but focus on devops behind the data science models

Experience with native services like cloud formation, ML Ops

Candidate will prepare POCs

Candidate should understand deployment and management of models really well The Successful Applicant The successful candidate comes with 4-7 years of experience with an understanding of the entire data science lifecycle and an ability to be associated with the Devops side of business. The candidate should have had extensive exposure to AWS sagemaker, docker, ansible and kubernettes and should have been involved in creating detailed POCs in the past. What's on Offer

An Opportunity to work with global stakeholders and the local team to help build a unified data and analytics platform and help impact business

To work alongside the data engineering, data science and devops engineering teams