Machine Learning Engineer (Computer Vision & VLM)

Orcrist is building a next generation data intelligence platform using cutting-edge technologies.

We're handling petabyte-scale data with sub-second queries.

Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments.

We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.

Role

We are looking for a hands-on Machine Learning Engineer to develop and productionize modern computer vision and visual language capabilities across major intelligence and public safety projects.

You will work directly with state-of-the-art and open-source computer vision models, visual language models (VLMs), and related AI technologies — training, evaluating, fine-tuning, and optimizing them for real-world use cases.

You will work on challenging problems including object recognition and identification, image and document understanding, geospatial data, satellite imagery, and large-scale visual data.

The role combines model development with practical engineering: building data pipelines and scrapers, running experiments, and taking promising approaches into reliable systems.

This is a highly hands-on role for someone with exceptional learning ability, strong analytical and engineering skills, and a genuine interest in applying AI to complex problems in the intelligence and public safety domain.

You will work closely with other engineers, technical leadership, and cross-functional teams to turn ideas and experiments into impactful capabilities.

What you’ll do

About you

Nice-to-haves

What we offer

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