Remote AI/ML Infrastructure Lead

Placements24; Queenstown; Remote; NZD 180,000 - 250,000; Full time

Benefits offered by this job

Home office allowance

Generous PTO

Career progression paths

Professional development

Training and certifications

Conference attendance

Job summary

WhatJobs Direct seeks a Remote AI/ML Infrastructure Lead to architect and scale our AI platforms. You will lead a distributed team, design cloud-based infrastructure for data science, model training, deployment and monitoring, and drive security and reliability across environments.

The ideal candidate has 8+ years in infrastructure, DevOps or cloud architecture with a strong focus on AI/ML, plus hands-on experience with AWS/Azure/GCP, Docker, Kubernetes and MLOps tools.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or related field.
• 8+ years of infrastructure, DevOps, or cloud architecture with AI/ML focus.
• Proven experience leading infra teams on complex projects.
• Expertise in AWS, Azure, or GCP and ML services.

Responsibilities

• Design and implement scalable AI/ML infra on cloud.
• Enforce MLOps practices including 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 staff.
• Ensure reliability, security, and availability of platform.
• Guide integration of new technologies and maintain docs.
• Lead incident response for infra issues.

Skills

Python

Go

Bash

Leadership

Remote collaboration

Problem-solving

Strategic thinking

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Terraform

CloudFormation

MLflow

Kubeflow

Airflow

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.