MLOps Engineer

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

MLflow
or similar
model deployment lifecycle

Job Details

Role: MLOps Engineer Location: TX, USA ||Relocation also acceptable.

Job Details

Looking for an MLOps Engineer to streamline the deployment and maintenance of ML models. The role focuses on building CI/CD pipelines, automating workflows, and ensuring reliability and scalability of models in production.

Key Responsibilities:

Develop and maintain ML pipelines and CI/CD processes.

Automate model deployment, monitoring, and retraining.

Work with DevOps tools and cloud infrastructure.

Implement best practices for model versioning and performance tracking.

Skills & Experience:

Proficiency with Docker, Kubernetes, Jenkins, MLflow, or similar.

Experience in cloud (AWS, Azure, or Google Cloud Platform) ML tools.

Solid understanding of model deployment lifecycle.

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