Remote AI/ML Infrastructure Lead

Placements24; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Home office allowance

Generous PTO

Conference attendance

Job summary

WhatJobs Direct seeks an experienced Remote AI/ML Infrastructure Lead to design, build, and scale the company’s AI/ML infrastructure across cloud platforms. You will lead a distributed team, establish best practices for MLOps, and drive reliability, security, and performance of data pipelines and model deployments.

The role requires deep cloud and distributed systems expertise, leadership capabilities, and a passion for enabling AI at scale in a fully remote setting.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 8+ years in infrastructure, DevOps, or cloud architecture with AI/ML focus.
• Experience leading infrastructure teams and complex projects.
• Expertise in AWS, Azure, or GCP and their AI/ML services.

Responsibilities

• Lead design and implementation of scalable AI/ML infrastructure on cloud platforms.
• Define and enforce MLOps best practices (CI/CD, model versioning, deployment).
• Manage cloud resources for cost and performance.
• Oversee data pipelines and storage for ML workloads.
• Mentor infrastructure engineers and DevOps teams.
• Collaborate with data scientists to meet infra needs.
• Ensure reliability, security, and availability of the platform.
• Evaluate new technologies to enhance infra.
• Develop documentation for infrastructure.
• Lead incident response for infra issues.

Skills

AI/ML infrastructure

Leadership

DevOps

MLOps

Terraform

Docker

Kubernetes

Python

Cloud cost optimization

Education

Bachelor's or Master's in CS/Engineering

Tools

MLflow

Kubeflow

Airflow

Terraform

CloudFormation

Job description

About the Role

Our client, WhatJobs Direct, is seeking a highly experienced and forward-thinking Remote AI/ML Infrastructure Lead to spearhead the development and management of their critical AI and Machine Learning infrastructure. This is a fully remote position, offering the opportunity to lead a distributed team and shape the foundational systems that power our cutting-edge AI solutions. You will be responsible for designing, implementing, and scaling robust, efficient, and secure infrastructure for data science, model training, deployment, and monitoring. The ideal candidate possesses a deep understanding of cloud computing, distributed systems, MLOps, and a passion for enabling AI innovation at scale.

Key Responsibilities

• Lead the design, architecture, and implementation of scalable AI/ML infrastructure on cloud platforms.
• Define and enforce best practices for MLOps, including CI/CD, model versioning, and deployment strategies.
• Manage and optimize cloud resources for cost-effectiveness and performance.
• Oversee the development and maintenance of data pipelines and storage solutions for ML workloads.
• Mentor and guide a team of infrastructure engineers and DevOps specialists.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.
• Ensure the reliability, security, and availability of the AI/ML platform.
• Evaluate and integrate new technologies and tools to enhance the AI/ML infrastructure.
• Develop and maintain comprehensive documentation for the infrastructure.
• Lead incident response and troubleshooting efforts for infrastructure-related issues.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in infrastructure engineering, DevOps, or cloud architecture, with a significant focus on AI/ML platforms.
• Proven experience leading infrastructure teams and managing complex projects.
• Expertise in cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
• Deep understanding of containerization (Docker) and orchestration (Kubernetes).
• Strong knowledge of MLOps principles and tools (e.g., MLflow, Kubeflow, Airflow).
• Proficiency in infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Experience with programming/scripting languages (Python, Bash, Go).
• Excellent problem-solving, strategic thinking, and leadership skills.
• Strong communication and collaboration abilities in a remote setting.

Benefits

• Join WhatJobs Direct as a Remote AI/ML Infrastructure Lead and receive an exceptional compensation package including a competitive salary, significant bonus potential, and comprehensive benefits.
• This is a fully remote role, offering flexibility and the opportunity to make a substantial impact on our AI capabilities.
• We provide extensive professional development opportunities, including training, certifications, and conference attendance.
• Our client fosters a collaborative and innovative culture, offering a supportive environment for leaders.
• Benefits include a home office allowance, generous PTO, and annual performance reviews with clear career progression paths.