Lead MLOps Engineer/Architect

VeeRteq Solutions LLC; New York (NY); Remote; USD 130,000 - 170,000; Full time

Job summary

A leading company is seeking a seasoned Lead MLOps Engineer to operationalize machine learning workloads. You will be instrumental in designing and maintaining cutting-edge infrastructure in AWS for ML applications. Your role will involve automating ML workflows, enhancing model reproducibility, and collaborating closely with data scientists to ensure optimal model performance.

Qualifications

• 12+ years of MLOps experience required, leading successful deployments.
• Strong understanding of ML lifecycle, pipelines, monitoring.
• Proficiency in CI/CD and DevOps methodologies.

Responsibilities

• Design and maintain MLOps infrastructure in AWS.
• Architect scalable, reliable, and secure MLOps solutions.
• Collaborate with data scientists for model versioning and reproducibility.

Skills

Kubernetes

Docker

Jenkins

Git

MLflow

JupyterHub

AWS

Python

TensorFlow

PyTorch

Education

Bachelor's or Master's degree in Computer Science

Tools

AWS CDK

CloudFormation

Job description

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:

• 10+ 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

• Solid Python programming skills

• Experience with ML frameworks like TensorFlow, PyTorch, and/or scikit-learn

• Experience with large language models (LLMs) and their operational challenges is a plus

• Excellent communication, collaboration, and problem-solving skills

• Ability to explain complex technical topics to non-technical stakeholders

• Passion for innovation and streamlining ML/LLM workflows

Preferred Qualifications:

• AWS Certified Machine Learning Specialty

• Experience with A/B testing and model performance monitoring