About Arteria AI
Arteria AI is made up of a passionate, rapidly-growing team of lawyers, data scientists, developers and designers, with a vision to build transformative, AI-enabled solutions for the business world. Our mission is to help companies transform how they interact with their most important documents—contracts.
With our award-winning technology in intelligent contracting, we’re looking for enthusiastic individuals who want to grow and win with us!
Responsibilities
As an ML engineer at Arteria AI, you’ll play a key role in developing products that are powered by machine learning as part of our enterprise SaaS platform for digital contracting.
This is a great role for anybody interested in making an impact and joining a friendly team that’s driven by innovation and growth. Our ideal candidate is a curious ML engineer, with strong problem-solving skills, and a deep understanding of how to productionize ML models. We are working as a team, and we are looking for great team players who enjoy solving challenging problems.
Qualifications
- Knowledge of software development practices, version control, and collaboration tools (e.g., Git, GitLab, GitHub).
- Proven ability in Python programming and ML frameworks (PyTorch and Hugging Face)
- Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
- Experience in product level coding, and software principles
- Demonstrated experience in ML model serving by creating APIs (KServe, Ray Serve, Django, FastAPI, etc.) and experience in engineering, integrating, evaluating, deploying and operationalizing ML/DL models)
- Passion for challenges, learning new things, and solving problems in a clean and modular way in a fast paced startup environment.
Similar Jobs
What We Do
We build data-centric end-to-end Digital Documentation powered by AI. Our award-winning platform Arteria turns your documents into data that powers your data systems and automates and accelerates documentation processes to reduce the time it takes to generate and collaborate on documentation processes and get you to revenue and value faster.








