Software Engineer, ML Ops - Remote

Overview

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers.

In Short

• Design and implement robust data pipelines for autonomous systems.
• Take ownership of the entire machine learning lifecycle.
• Collaborate with robotics engineers and software developers.
• Develop tools for data labeling and curation.
• Implement and optimize storage solutions for large datasets.
• Build and maintain CI/CD pipelines for ML models.
• Develop monitoring and logging solutions for deployed models.
• Optimize training pipelines, including hyperparameter tuning.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 2+ years of experience in software engineering focused on ML Ops.
• Proficiency in Python and scripting languages.
• Familiarity with data storage solutions and database systems.
• Experience with Docker and Kubernetes.
• Knowledge of AWS and its machine learning services.
• Excellent problem-solving skills.
• Strong communication and collaboration skills.

Benefits

• Opportunity to work on cutting-edge technology.
• Collaborative and innovative work environment.
• Impactful role in a growing company.
• Access to professional development resources.
• Competitive salary and benefits package.