ML Cloud Platform Engineer: Build Scalable Pipelines

Drive Capital; Providence (RI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, Dental and Vision Insurance (8

Life Insurance

401k Matching

Unlimited PTO

Equity Package

Work/Home Office Stipend

Global Entry

Parental Leave

Wellness Stipend

Job summary

HavocAI in Providence, RI seeks a Machine Learning Cloud Infrastructure Engineer to build and operate the infra for training, evaluating, deploying, and monitoring ML models. You will connect data lakes, telemetry stores, simulation environments, and cloud compute to enable reproducible datasets and scalable training.

You’ll work across data, software, and security teams to deliver reliable, observable, and cost-efficient ML platforms, with strong emphasis on security, compliance, and production

Qualifications

• 3+ years of experience in software engineering, infrastructure engineering, data engineering, ML infrastructure, or a related field.
• Strong programming experience in Python, with experience in Go, C++, or another systems-oriented language preferred.
• Experience building and operating production services, APIs, data pipelines, developer platforms, or infrastructure.
• Hands‑on experience with ML workflows such as dataset preparation, model training, evaluation, or deployment.
• Experience with cloud infrastructure, preferably AWS, and Infrastructure as Code.
• Hands‑on experience with Kubernetes and containerized environments.
• Strong understanding of production engineering fundamentals, including reliability, observability, testing, automation, and maintainability.
• Ability to work effectively across engineering disciplines and solve ambiguous technical problems with a high degree of ownership.
• U.S. Citizenship and ability to obtain and maintain a U.S. Government security clearance.

Responsibilities

• Build ML infrastructure and pipelines transforming multi-modal data into curated training datasets.
• Develop scalable training and evaluation workflows across cloud compute and GPUs.
• Build and maintain model deployment infrastructure for packaging, serving, inference, versioning, and rollback.
• Implement experiment tracking, dataset lineage, model versioning, and reproducibility features.
• Own data schema versioning and migration across pipelines, data lakes, and services.

Job description

HavocAI in Providence, RI seeks a Machine Learning Cloud Infrastructure Engineer to build and operate the infra for training, evaluating, deploying, and monitoring ML models. You will connect data lakes, telemetry stores, simulation environments, and cloud compute to enable reproducible datasets and scalable training.

You’ll work across data, software, and security teams to deliver reliable, observable, and cost-efficient ML platforms, with strong emphasis on security, compliance, and production