Senior MLOps & AI Ops Engineer — Remote

DeWinter Group; Campbell (CA); Remote; USD 68,880 - 241,080; Full time

Job summary

A leading AI solutions provider is seeking an experienced MLOps / AI Ops Engineer for a remote 12-month contract. The role involves building and automating CI/CD pipelines for machine learning models, establishing monitoring frameworks, and managing deployment strategies. Candidates should have over 4 years of MLOps or DevOps experience with a strong focus on machine learning, alongside expertise in tools like MLflow and Kubeflow. Strong communication skills and the ability to work independently are essential for success in this impactful position.

Qualifications

• Minimum 4 years of experience in MLOps or DevOps focused on machine learning.
• Deep expertise in MLflow, Kubeflow, and CI/CD strategies.
• Ability to work autonomously and manage time effectively.

Responsibilities

• Build and automate end-to-end CI/CD pipelines for machine learning models.
• Set up observability frameworks to track model performance.
• Manage deployment strategies for zero-downtime updates.
• Automate scaling of inference services based on demand.
• Establish workflows for model governance and reproducibility.

Skills

MLOps expertise

DevOps knowledge

CI/CD tools proficiency (GitHub Actions, Jenkins)

Python programming

Kubernetes experience

Cloud-native ML services

Strong communication skills

Tools

MLflow

Kubeflow

Job description

A leading AI solutions provider is seeking an experienced MLOps / AI Ops Engineer for a remote 12-month contract. The role involves building and automating CI/CD pipelines for machine learning models, establishing monitoring frameworks, and managing deployment strategies. Candidates should have over 4 years of MLOps or DevOps experience with a strong focus on machine learning, alongside expertise in tools like MLflow and Kubeflow. Strong communication skills and the ability to work independently are essential for success in this impactful position.