Lead ML/AI Engineer (MLOps)

TL;DR

Lead ML/AI Engineer (MLOps): Designing and implementing automated MLOps pipelines and operational strategies for production AI systems with an accent on CI/CD automation and high-performance AI infrastructure. Focus on orchestrating agentic AI solutions, managing distributed systems, and leading technical delivery for enterprise customers.

Location: Remote (United States)

Salary: $175,000–$215,000

Company

An end-to-end technology company solving the industry’s most complex challenges in computing, memory, and LED solutions through high-performance enterprise infrastructure.

What you will do

• Lead, mentor, and provide technical guidance to a team of ML/AI Engineers and AI Infrastructure Specialists.
• Architect and implement robust, automated CI/CD pipelines for AI/ML models and agentic AI solutions.
• Oversee operational strategy, including monitoring, scaling, maintenance, and security of production AI systems.
• Manage the technical execution of multiple customer-facing project delivery activities and resolve critical issues.
• Lead the presentation of project delivery status, performance metrics, and technical resolution plans to stakeholders.

Requirements

• 7+ years of experience in software engineering, DevOps, or ML engineering.
• At least 2 years in a technical leadership, mentorship, or lead engineer capacity.
• Deep hands-on experience with CI/CD pipelines (Jenkins, GitLab CI, Actions) and infrastructure-as-code (Ansible, Terraform, Puppet).
• Production-level experience with Docker and Kubernetes.
• Proficiency with monitoring and observability tools (Prometheus, Grafana, ELK Stack).
• Must be based in the United States.

Nice to have

• Experience with MLOps platforms like Kubeflow, MLflow, or Seldon Core.
• Hands-on experience with NVIDIA AI Enterprise stack (Triton Inference Server, TensorRT-LLM, NeMo).
• Background in customer-facing professional services or consulting.
• Strong scripting skills in Python or Go.
• Experience deploying infrastructure in both public cloud (AWS, Azure, GCP) and on-premises data centers.

Culture & Benefits

• Medical, dental, and vision benefits.
• 401k saving plan.
• Paid Time Off, Life Insurance, and an Employee Assistance Plan.
• Commitment to an inclusive environment that embraces differences and fosters belonging.