ML Data Infrastructure Engineer - Build Scalable Data Lakes

HavocAI Inc.; Northern (KY); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health, Dental, and Vision insurance (

Life Insurance

401k matching

Unlimited PTO with 2 weeks minimum

Equity package

Work/Home Office stipend

Global Entry

Parental leave – 16 weeks

Wellness stipend

Job summary

HavocAI Inc. is seeking a Data & ML Infrastructure Engineer to build and own the data lake, ingestion pipelines, and tooling for multimodal datasets used to train and evaluate autonomous systems.

You will collaborate with Autonomy, Perception, Software, and Field Operations to turn raw data into reliable, searchable datasets and ML-ready assets, ensuring data quality and reproducibility in a fast-paced environment.

Qualifications

• Bachelor’s degree in CS/DS/ML or related field.
• 3+ years in data engineering, ML infrastructure, data platforms, backend systems, or related roles.
• Experience designing and operating production data pipelines for large-scale structured, semi-structured, or unstructured datasets.
• Experience with video, imagery, time-series telemetry, sensor data, logs, or other high-volume operational data.
• Strong programming skills in Python and SQL.
• Experience with cloud storage, data lakes, databases, distributed processing, or modern data platforms.
• Familiarity with dataset versioning, metadata management, data lineage, access controls, and reproducible data workflows.
• Strong software engineering fundamentals, including testing, reliability, maintainability, and observability.
• Ability to operate independently and take ownership in a fast-moving engineering environment.
• U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance.

Responsibilities

• Build and maintain data infrastructure for video, imagery, telemetry, sensor data, autonomy logs, and mission data.
• Own data ingestion, storage, indexing, metadata, access patterns, and lifecycle 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.
• Partner with Autonomy, Perception, Software, and Field Operations teams to identify high‑value data for model development and system evaluation.
• Support annotation and labeling workflows for video, imagery, tracks, telemetry, and other ML inputs.
• Develop reproducible dataset‑generation workflows for training, validation, regression testing, and benchmarking.

Skills

Python

SQL

ML infrastructure

Data pipelines

Cloud storage

Debugging

Education

Bachelor’s degree in Computer Science, Data Science, ML, or related field

Tools

Kubernetes

Docker

Kafka

Airflow

Dagster

Spark

Ray

PostgreSQL

S3-compatible storage

Job description

HavocAI Inc. is seeking a Data & ML Infrastructure Engineer to build and own the data lake, ingestion pipelines, and tooling for multimodal datasets used to train and evaluate autonomous systems.

You will collaborate with Autonomy, Perception, Software, and Field Operations to turn raw data into reliable, searchable datasets and ML-ready assets, ensuring data quality and reproducibility in a fast-paced environment.