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Machine Learning Engineer
Machine Learning EngineerCloudDevs • Toronto, Canada
Machine Learning Engineer

Machine Learning Engineer

CloudDevs • Toronto, Canada
30+ days ago
Job type
  • Part-time
Job description

Our client, an AI-focused startup based in Toronto, Canada, are seeking a Full Stack / Machine Learning Engineer to deliver high-impact product features using React / Next.js on the frontend and FastAPI on the backend. You will work within a focused engineering pod under the direction of a Lead Project Engineer, in close collaboration with Product Managers.

This role offers the opportunity to build production-grade software in a fast-moving environment while developing your technical skills and growing into engineering leadership.

Location : Remote, preferably in Toronto / GTA

Employment Type : Part-Time (~20 hours per week)

Experience : 2-4+ years

Tech Stack :

Next.js, React, FastAPI, GCP, SQLAlchemy, Pydantic

What You’ll Do

Implement full-stack product features using FastAPI, Next.js, and PostgreSQL.

Work with LPEs and PMs to translate requirements into deliverable tasks

Participate in technical planning, system design, and design reviews

Write clean, testable, and maintainable code

Debug issues and ensure reliable application behavior across services

Contribute to CI / CD processes and GCP-based infrastructure

What You Bring

Proficiency with React / Next.js, FastAPI, and SQLAlchemy

Familiarity with PostgreSQL and Pydantic

Understanding of RESTful API design, data modeling, and system integration

Comfortable with Git-based workflows, Docker, and CI / CD pipelines

Strong communication skills and ability to work within collaborative teams

Startup or agile team experience is a plus

————————

At Talencore, we stand against racism and discriminatory practices. We stand against violence.

We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates’ experiences, perspectives and unique identity.

We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

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Machine Learning Engineer • Toronto, Canada

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