MLOps Engineer

Our Company

People with disabilities, such as sight, hearing or motor impairments, experience the digital world in a parallel but different way. We use computer vision and AI to truly understand the intended user experience of web and mobile applications. With that, we give our customers the tools to ensure that nothing is lost in the gap between those parallel user experiences, making the digital space accessible to everyone.

Evinced is the market-leading web and mobile accessibility software company focused on providing accessibility automation to enterprise developers. Going beyond legacy static/syntax analysis, we employ advanced rulesets, computer vision and AI algorithms to automatically detect and pinpoint accessibility problems during the product development lifecycle and suggest fixes. Leading enterprises use Evinced to weave accessibility into their software development process - including design, development, automated testing, and production/compliance monitoring.

To learn more, please visit: www.evinced.com

The Position

We offer you a vital role in our research team, where you'll work with highly professional and innovative engineers and scientists. The team is responsible for advancing our platform's ability to detect accessibility issues, enhance usability, and build new products using classic algorithms, data analysis, machine learning, and generative AI. We are committed to creating high-impact products for our customers and value scientific and engineering excellence.

If you want to play a crucial role in the team and positively impact the world, Evinced is the right place for you.

Your Impact And Responsibilities

• Developing solutions for archiving web pages and capturing initial state and interactive sessions
• Enhancing and maintaining data collection infrastructure
• Managing data and creating datasets
• Building ML pipelines
• Optimizing models for server-side (python) and client-side (node) deployments
• Creation of annotation tools, research utilities, scripts
• Introducing user feedback features
  
  

• 3+ years experience in data engineering and ML ops - dataset management, annotation tools, experiment tracking, model training and deployment pipelines
• Ability to write and reason about clean and modular code, especially in Python
• Experience with cloud solutions (GCP (preferred)/AWS/Azure) and docker
• Experience with web and web automation technologies - DOM API, HTML, Node JS, Puppeteer - Advantage
• Experience with GitHub Actions - Advantage
• Knowledge of ML frameworks like Tensorflow/PyTorch - Advantage
• BA / BSc in computer science or a quantitative field or equivalent experience.
  
  

• Independent, autodidact with a creative mindset.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Willingness to work in multiple environments and shift between them.