Machine Learning Operations Engineer

Job Description

Job Description

About Us :

Cyvl is a Boston-based tech startup revolutionizing the way civil engineering firms and governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles. This data is processed through our AI-powered cloud pipelines to generate actionable condition and geospatial reports, saving our customers time, money, and resources. We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions.

About the Role :

As an MLOps Engineer at Cyvl, you will lead the development of the platforms and tooling that empower our Machine Learning team to move quickly and efficiently. Your primary focus will be optimizing our data curation and annotation workflows, ensuring that all labeled datasets and metadata are centrally organized, easily discoverable, and reusable. Beyond data management, you’ll also support experimentation, model training, and deployment workflows to help us bring ML solutions to production faster and with greater reliability. This is a highly cross-functional role where you’ll collaborate with ML engineers, software engineers, and product managers to enable scalable and reproducible machine learning systems.

Responsibilities :

• Build and maintain scalable pipelines for data ingestion, preprocessing, labeling, and metadata management.
• Centralize all ML annotations, datasets, and labels using best-in-class data management and labeling tools.
• Evaluate and integrate third-party tools and frameworks to increase efficiency of the ML development process.
• Contribute to infrastructure decisions and promote best practices across the MLOps lifecycle.
• Design and maintain platforms that accelerate ML experimentation, hyperparameter tuning, and training workflows.
• Collaborate with ML engineers to streamline and automate deployment of models to production environments.

Required Skills :

Nice to Have :

Ideal Cyvl Candidate :

What We Offer :

If you're passionate about building powerful ML platforms, and you thrive on enabling teams to move faster and smarter with their data, we want to hear from you. At Cyvl, you’ll have the opportunity to take ownership of critical MLOps infrastructure, shape the way our ML engineers work, and have a direct impact on our product and customers. Join us in transforming the future of infrastructure with AI and world-class tooling.