We’re seeking an experienced AI/ML Platform Engineer to drive the reuse and delivery of our enterprise Data, MLOps/AIOps, and DevOps platform products and services
Job Summary
We’re seeking an experienced AI/ML Platform Engineer to drive the reuse and delivery of our enterprise Data, MLOps/AIOps, and DevOps platform products and services.
You’ll join a collaborative team working with leading researchers and engineers, leveraging state-of-the-art technologies to deliver scalable, resilient solutions across both cloud and on-prem environments.
Become part of a team that thinks progressively and works collaboratively, with a comprehensive Total Rewards Program including bonuses and flexible benefits.
Matching Summary
We’re seeking an experienced AI/ML Platform Engineer to drive the reuse and delivery of our enterprise Data, MLOps/AIOps, and DevOps platform products and services.
Skills & Requirements
Must-have
designing and implementing distributed systems
building and maintaining DevOps pipelines
MLOps orchestration tools
machine learning application deployment process
automate infrastructure and DevOps tasks
Python, Bash, or JavaScript proficiency
implementing monitoring solutions
hybrid environments on-premises and cloud
Nice-to-have
containerization and orchestration
AI/ML tools knowledge
relational and NoSQL databases
Agile methodologies and tools
progressive and collaborative team
systems thinking and top-down problem solving
Key Requirements
Strong experience designing and implementing
Experience building and maintaining
Previous experience with MLOps orchestration tools
In-depth knowledge of ML application deployment
Experience building tools to automate
Proficiency in programming languages
Experience implementing monitoring solutions
Knowledge of professional software engineering best practices
Hands-on experience building and deploying hybrid environments