ML Cloud Platform Engineer

Matcha; Northern (KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health, Dental, Vision Insurance (100%

Life Insurance (Employer Paid)

401k Matching

Unlimited PTO

Equity Package

Work/Home Office Stipend

Global Entry

16 Weeks Parental Leave

Monthly Wellness Stipend

Job summary

HavocAI seeks a Machine Learning Cloud Infrastructure Engineer to build and operate the pipelines, services, and platforms used to train, evaluate, deploy, and monitor ML models. You will connect data lakes, telemetry, simulation environments, training workloads, and cloud compute to enable reproducible datasets and scalable training across multi-modal data.

This role suits engineers who enjoy production systems at the data-model compute-autonomy intersection and can work in a fast-paced, secure

Qualifications

• 3+ years in software, infrastructure, data, or ML infra.
• Strong Python programming; Go/C++ or similar systems language preferred.
• Experience building/operating production services and data pipelines.
• Hands-on ML workflows: dataset prep, training, evaluation, deployment.
• Cloud infra experience, preferably AWS; IaC experience.
• Kubernetes and containerized envs experience.
• Secure, observable, and reliable ML infrastructure.

Responsibilities

• Build pipelines transforming raw multi-modal data into curated training datasets.
• Develop scalable training/evaluation workflows across cloud and GPUs.
• Build/maintain model deployment infrastructure for packaging, serving, versioning and rollback.
• Implement experiment tracking, dataset lineage and model versioning for reproducibility.
• Own data schema versioning and migrations across pipelines and data lakes.
• Design, build, operate scalable AWS infra using Infrastructure as Code.
• Create self-service tooling for compute scheduling, storage, data access, training, and deployment.
• Improve utilization, scalability, and cost efficiency of cloud/infrastructure.

Skills

Python

Go/C++

Production services

Cloud infra

Data pipelines

ML workflows

Tools

AWS

Kubernetes

IaC (Infrastructure as Code)

Job description

HavocAI seeks a Machine Learning Cloud Infrastructure Engineer to build and operate the pipelines, services, and platforms used to train, evaluate, deploy, and monitor ML models. You will connect data lakes, telemetry, simulation environments, training workloads, and cloud compute to enable reproducible datasets and scalable training across multi-modal data.

This role suits engineers who enjoy production systems at the data-model compute-autonomy intersection and can work in a fast-paced, secure