Senior Machine Learning Operations Engineer - Remote

Overview

As a Senior MLOps Engineer at Agiloft, you will collaborate with cross-functional teams to design, build, and maintain robust production machine learning infrastructure and tooling, enabling scalable and reliable delivery of customer-facing machine learning solutions.

In Short

• Collaborate with cross-functional teams to build and maintain end-to-end machine learning pipelines.
• Design, implement, and optimize infrastructure for rapid prototyping and continuous integration.
• Monitor and maintain production machine learning systems for reliability and performance.
• Provide technical guidance and mentorship to junior team members.
• Stay updated with advancements in MLOps and generative AI.
• Set and enforce standards for code quality across teams.
• Gather requirements and design systems for the machine learning lifecycle.
• Experience with REST API design and implementation.
• Proficiency in Python and machine learning frameworks.
• Experience with cloud platforms, preferably AWS.

Requirements

• Proven experience deploying machine learning models in production.
• Ability to gather requirements and scope projects effectively.
• Experience with REST API frameworks like Flask or FastAPI.
• Proficiency in Python and machine learning frameworks.
• Experience in building and scaling machine learning pipelines.
• Proficiency with cloud platforms, preferably AWS.
• Strong communication skills for collaboration.
• Familiarity with CI/CD tools for machine learning workflows.
• Experience with Docker and Kubernetes.

Benefits

• Support for healthy work/life balance.
• Floating holidays and wellness days.
• Inclusive working environment with Employee Resource Groups.
• Opportunities for professional growth and mentorship.
• Access to cutting-edge technologies and tools.