Machine Learning Engineer

NoTraffic, the world’s first autonomous traffic management platform, is revolutionizing urban mobility by transforming traditional intersections into intelligent, connected systems. Leveraging advanced AI and edge computing technologies, our platform optimizes traffic flow, reduces congestion, and enhances road safety. Deployed across hundreds of agencies in the U.S. and Canada, NoTraffic has significantly improved travel times and lowered vehicle emissions. Recognized as a leader in smart mobility innovation, we are shaping a more efficient, sustainable, and safer transportation ecosystem.

Your day-to-day will include:

• Building and optimizing data pipelines for training, testing, and deploying deep learning models.
• Defining and implementing MLOps standards, including CI/CD pipelines for ML workflows.
• Implementing tools and practices for monitoring model performance, drift, and data quality in production.
• Conducting experiments, performing model evaluations, and fine-tuning algorithms for better performance.

You’d be a good fit if you have:

• 5+ years of experience as a software engineer.
• 3+ years of experience working with Linux.
• B.Sc. in Computer Science or an equivalent field.
• Familiarity with ML pipelines, including data preparation, training, validation, visualization, deployment, and monitoring, preferably in computer vision.
• Experience implementing CI/CD pipelines using tools like Jenkins.
• An understanding of containers.
• Experience with C++/CUDA Advantage.