We are hiring a Machine Learning Operations Engineer.

You will be a core member of the Artificial Intelligence team at Novisto.

Responsibilities:

• Design infrastructure for AI services of various types: deep learning model serving, AI APIs, data processing pipelines
• Ensure robust productization of AI algorithms
• Setup production monitoring tools: logging services, live alerts, statistics dashboards
• Enable data scientists to monitor and improve AI services in production in simple and practical ways
• Enforce best practices in Python code and testing for high maintainability and ease of further development
• Oversee and plan integration of AI services within the main Novisto application
• Get up to speed with the recent developments related to MLOps for Generative AI
• Collaborate with release managers for AI deployments within the product
• Mentor more junior MLOps

Requirements:

• 3 to 5 years of experience as a DevOps
• Strong experience in deploying AI systems to production within a live product
• Prior experience of close collaboration with data scientists, understanding of the skill set of data scientists and their expectations in terms of productization support
• Strong knowledge of Python
• Strong knowledge of frameworks such as (or equivalent to) fastapi, pydantic, uvicorn, celery
• Strong understanding of multiprocessing/multithreading/parallelization techniques in Python
• Strong knowledge of Docker
• Strong knowledge of a Cloud platform (GCP or equivalent)
• Good communication skills

What we offer:

• Join an early stage, well-financed company
• Advance Novisto’s purpose of contributing to the sustainability of the economy, environment, and society by empowering companies to make better decisions and disclosures through our ESG data management software
• Contribute your knowledge and insights to increase awareness and knowledge of sustainability
• Generous health benefits (100% Insurance coverage & access to Dialogue's telemedicine app)
• Flexible schedules & opportunity to work remotely
• 4 weeks of vacation
• Stock option plan and 4 days work per week Pilote
• Summer hours
• If you prefer to work at the office, we have a beautiful office, in Old Montreal, close to downtown and steps away from a metro (subway) station

We are a fast-growing tech startup looking for the best talent to join our team. We are open to hiring internationally, and supporting qualified hires into relocating to Canada.