Senior Computer Vision ML Engineer - Damage Detection

Colonial Group; Buffalo (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

ACV's Machine Learning organization is seeking a talented Machine Learning Engineer IV to join the inspection team. You will design and train computer vision models for automated damage detection and build high-throughput serving infrastructure to scale production workloads.

You will own the full model lifecycle from experimentation to deployment, collaborate with stakeholders, and ensure robust data pipelines with Kafka in a fast-paced environment.

Qualifications

• MS or PhD in a computationally intensive domain or equivalent work experience.
• 5+ years of prior computer vision experience.
• Advanced proficiency with CV frameworks (PyTorch, OpenCV, TensorFlow) and Python/SQL.
• Experience designing and maintaining visual data annotation pipelines and evaluation frameworks.
• Experience optimizing high-latency models for real-time inference.
• Backend software engineering in the cloud (AWS/GCP) with microservices (Docker) and ML lifecycle.
• Experience building and maintaining streaming data pipelines (Kafka) for real-time model serving.

Responsibilities

• Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
• Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
• Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
• Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
• Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.

Skills

Computer Vision

Python

SQL

PyTorch

OpenCV

TensorFlow

REST/gRPC

Docker

Kafka

Cloud (AWS/GCP)

Education

MS or PhD in a computationally intensive domain

Tools

Kafka

Docker

AWS / GCP

Kubeflow

KServe

Databricks

Job description

ACV's Machine Learning organization is seeking a talented Machine Learning Engineer IV to join the inspection team. You will design and train computer vision models for automated damage detection and build high-throughput serving infrastructure to scale production workloads.

You will own the full model lifecycle from experimentation to deployment, collaborate with stakeholders, and ensure robust data pipelines with Kafka in a fast-paced environment.