Machine Learning Engineer

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 Requirements What You Bring 2-4 years of experience in full stack development using modern JavaScript frameworks and Python web frameworks Proficiency with React/Next.js, FastAPI, and SQLAlchemy Familiarity with PostgreSQL and Pydantic Understanding of RESTful API design, data modeling, and system integration Exposure to Google Cloud services (Cloud Run, Cloud SQL, IAM) 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.