Lead MLOps Engineer/Architect

AddSource; United States; Remote; USD 160,000 - 220,000; Full time

Job summary

A leading company is seeking a Lead MLOps Engineer/Architect to operationalize Machine Learning workloads in a remote capacity. The ideal candidate will lead the design and maintenance of infrastructures for efficient ML model development and deployment, ensuring optimal performance and collaboration with data scientists. This challenging role requires extensive experience in MLOps tools, AWS, and CI/CD pipelines in a dynamic IT environment.

Qualifications

• 12+ years of experience in MLOps or related fields.
• Deep expertise in MLOps tools and platforms.
• Strong working knowledge of AWS and Infrastructure-as-Code tools.

Responsibilities

• Architect scalable, cost-efficient MLOps solutions.
• Design, implement, and deploy MLOps solutions in AWS.
• Monitor and optimize production model performance.

Skills

MLOps tools

Kubernetes

Docker

AWS

Infrastructure-as-Code

CI/CD pipelines

Education

Bachelor's degree in Computer Science

Master’s degree in Computer Science

Job description

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Founder & CEO at VeeRteq Solutions LLC, United States & VeeRteq Solutions Inc. Canada DBA AddSource. "Your workforce solution partner." “Top…

Job Title: Lead MLOps Engineer/Architect

Location: New York, NY (Remote)

Experience Required: 12+ years in MLOps, DevOps, or related fields

Educational Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field

What’s in it for you?

We're seeking an experienced Lead MLOps Engineer to lead the operationalization of our Machine Learning workloads.

As a key team member, you'll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads. Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally.

This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery.

Key Responsibilities:

• Architect scalable, cost-efficient, reliable, and secure MLOps solutions
• Design, implement, and deploy MLOps solutions in AWS
• Select and justify appropriate ML technologies within AWS; identify suitable AWS services for MLOps implementation
• Build and maintain infrastructure for efficient development, deployment, and monitoring of ML models
• Implement CI/CD pipelines for ML applications for seamless development and deployment
• Collaborate with data scientists to address requirements for model serving, versioning, and reproducibility
• Monitor and optimize production model performance; proactively troubleshoot issues
• Automate repetitive MLOps workflows to enhance efficiency and reduce human error
• Maintain technical documentation and train team members on MLOps best practices
• Stay current with the latest MLOps tools, technologies, and methodologies

Required Skills & Experience:

• 7+ years of experience in MLOps with a proven track record of successful deployments
• Deep expertise in MLOps tools and platforms such as Kubernetes, Docker, Jenkins, Git, MLflow, and JupyterHub
• Strong working knowledge of AWS and Infrastructure-as-Code tools (AWS CDK, CloudFormation)
• Proficiency with DevOps methodologies and CI/CD pipelines (e.g., GitHub Actions)
• Strong understanding of the ML lifecycle, pipelines, model training, and monitoring

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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