Software Engineer, ML Ops

AeroVect is at the forefront of transforming ground handling operations through autonomous solutions, serving major airlines and ground handling providers worldwide. As a Series A company backed by prominent venture capital investors in aviation and autonomous driving, we're pioneering the future of airport operations.

We're seeking a Software Engineer specialized in ML Ops to join our innovative team. This role is crucial in building and maintaining the infrastructure that powers our autonomous systems. You'll be responsible for the entire machine learning lifecycle, from data collection and processing to model deployment and monitoring.

The ideal candidate will bring 2+ years of experience in ML Ops or data engineering, with strong expertise in Python, cloud platforms (AWS), and containerization technologies (Docker, Kubernetes). You'll work with cutting-edge technologies to develop scalable data pipelines, implement efficient data labeling workflows, and ensure smooth deployment of machine learning models in production environments.

This position offers the opportunity to work on challenging technical problems while making a significant impact on the aviation industry. You'll collaborate with talented robotics engineers and software developers in a fast-paced, innovative environment. If you're passionate about machine learning infrastructure and want to be part of revolutionizing airport ground operations, this role at AeroVect presents an exciting opportunity to shape the future of autonomous systems in aviation.