Hiring: Data and ML Infrastructure Engineer Company: HavocAI Location: United States Job Posted Time: 2026-09-16 19:29:34 Target Skills & Keywords : Airflow, Cloud Storage, Computer Vision, Dagster, Data Lake, Data Pipeline, Docker, Feature Store, Kafka, Kubernetes, MLOps, Machine Learning, PostgreSQL, Python, S3, SQL, Spark About the job Experience: •3+ years of experience in data engineering, ML infrastructure, data platforms, backend systems, MLOps, or related engineering roles. Required Skills: •As a Data & ML Infrastructure Engineer, you will build the data infrastructure that enables HavocAI to develop, evaluate, and continuously improve autonomous systems. •A major focus of this role will be HavocAI’s internal video and telemetry data lake, including ingestion, storage, indexing, metadata, curation, quality, labeling, and dataset generation. •This is a hands-on engineering role for someone who enjoys building scalable infrastructure and turning messy real-world data into reliable engineering tools and ML-ready datasets. •Build and maintain infrastructure for video, imagery, telemetry, sensor data, autonomy logs, mission data, and field-test data. •Own data ingestion, storage, indexing, metadata, access patterns, and lifecycle management within HavocAI’s data lake. •Develop scalable pipelines that transform raw operational data into curated datasets for ML training, evaluation, debugging, and analysis. •Build tools for searching, filtering, tagging, and retrieving data across platforms, missions, operating conditions, and events. •Design infrastructure capable of handling large volumes of multimodal operational data efficiently and reliably. Qualifications: •Operational familiarity with sensor synchronization, timestamp alignment, calibration metadata, log replay, or multimodal dataset construction. •Active or prior security clearance. •Within Your First 12 Months, You Will Have •Built reliable pipelines that move operational data from field capture into organized and searchable storage. •Made HavocAI’s video, telemetry, and sensor data significantly easier for engineers to discover and use. •Established reproducible workflows for creating high-quality datasets for model training, evaluation, and regression testing. 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!