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3M · 1 day ago

Lead AI Platform Engineer (DevOps, MLOps)

Minnesota, United States

Full-time

Onsite

Senior Level, Lead/Staff

$165K/yr - $201K/yr

4+ years exp

3M is a global company where innovative individuals collaborate to support various projects. The Lead AI Platform Engineer will be responsible for implementing and optimizing MLOps pipelines and frameworks, while providing technical leadership and support to cross-functional teams.

AutomotiveCleaning ProductsConsultingElectronicsEnterprise SoftwareManufacturing

No H1B

Responsibilities

Lead the design and implementation of AI/ML architecture, ensuring optimal orchestration, deployment, and performance of models

Deploy scalable, full-stack applications and Agentic AI solutions integrated seamlessly within existing enterprise systems

Design and implement efficient MLOps pipelines for quantitative ML models, Large Language Models (LLMs), ensuring robust deployment, observability, and maintenance

Establish best practices for AI orchestration, application development, and MLOps, promoting reliability and scalability

Provide technical leadership and support cross-functional teams by troubleshooting complex issues and driving continuous innovation initiatives

Supporting cross-functional teams by providing technical expertise, troubleshooting issues, and driving continuous improvement initiatives

Design, implement, and optimize DevOps pipelines for efficient deployment and monitoring of AI models

Develop and maintain robust and scalable solutions for the GenAI platform

Integrate and coordinate various AI services and components using APIs, CI/CD pipelines, and automation frameworks

Establish end to end framework for model observability, infrastructure performance monitoring and FinOps

Research and evaluate new technologies and frameworks for MLOps and automation

Qualification

MLOpsDevOpsCloud platformsInfrastructure as CodeDockerKubernetesAWSAzureAPI OperationsCommunication skillsCollaboration skills

Required

Bachelor's degree or higher in Computer Science or Engineering (completed and verified prior to start)

Four (4) years of experience in platform engineering/DevOps in a private, public, government or military environment

Two (2) years of experience in MLOps, automation, or DevOps using tools such as Docker, GitHub Actions, Kubernetes, Airflow, MLflow or other open-source technologies

Two (2) years of experience in Infrastructure as Code tools like Bicep, Cloud formation, Code build, Terraform