Hiring: ML Cloud Infrastructure Engineer Company: HavocAI Location: United States Job Posted Time: 2026-09-15 10:29:34 Target Skills & Keywords : AWS, Airflow, C++, CI/CD, Dagster, Data Pipeline, EKS, Embedded Systems, FedRAMP, GCP, IAM, Infrastructure as Code, Kubeflow, Kubernetes, MLOps, MLflow, Machine Learning, Python About the job Experience: •3+ years of experience in software engineering, infrastructure engineering, data engineering, ML infrastructure, or a related field. Required Skills: •As a Machine Learning Cloud Infrastructure Engineer, you will build and operate the infrastructure HavocAI teams use to train, evaluate, deploy, and monitor machine learning models safely and reliably. •Build pipelines that transform raw multi-modal data—including telemetry, imagery, video, sensor, and simulation data—into curated, versioned training datasets. •Develop reproducible training and evaluation workflows that scale across cloud compute and GPU resources. •Build and maintain model deployment infrastructure for packaging, serving, inference, versioning, and rollback. •Implement experiment tracking, dataset lineage, model versioning, and other capabilities required for reproducible ML development. •Own data schema versioning and migration across pipelines, data lakes, and services as datasets and models evolve. •Design, build, and operate scalable AWS infrastructure using Infrastructure as Code. •Build and maintain Kubernetes/EKS workloads and containerized environments for training, batch processing, evaluation, and model serving. Qualifications: •Within Your First 12 Months, You Will Have •Built reliable and reproducible pipelines that move data from raw capture through curated, versioned training datasets. •Enabled training and evaluation workloads to run at scale with clear quality and reliability signals before deployment. •Delivered self-service ML infrastructure that reduces friction and accelerates Autonomy, Data, and Software teams. •Improved the observability, reliability, security, and cost efficiency of HavocAI’s ML infrastructure. •Established scalable foundations that allow ML development and deployment to grow alongside HavocAI’s autonomy capabilities. Compensation: •100% Employer paid Health, Dental and Vision Insurance for you and your families Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!