Machine Learning Engineer
Toronto
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Arteria AI
Arteria unlocks the power of your contracts by helping you to generate, negotiate and turn your executed contracts into data that allow you to diagnose problems, identify opportunities and drive value for your organization.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Django Docker Engineering FastAPI Git GitHub GitLab KServe Kubernetes Machine Learning ML models Python PyTorch
Perks/benefits: Career development Startup environment
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