Senior Machine Learning Engineer (Toronto)

Senior Machine Learning Engineer (Toronto)

16 Apr
|
Insight Global
|
Toronto

16 Apr

Insight Global

Toronto

About the Company

You'll join a team-oriented, fast-paced team working on cutting-edge ML problems that directly impact how millions of Canadians shop. We offer competitive compensation, continuous learning opportunities, and the chance to work with the latest technologies in machine learning and AI. You will collaborate with highly skilled teams on impactful projects that touch the lives of millions of Canadians, thriving in an inclusive and supportive culture that celebrates diversity of thought and experience. By embracing our values of authenticity, trust, and connection, you'll help drive innovation and shape the future of eCommerce.

Responsibilities

- Master's or PhD in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in machine learning engineering, with a focus on GenAI applications for personalization.
- Strong expertise in GenAI frameworks (Lang Chain or Lang Graph) and building production-grade ML systems.
- Proven experience with GCP services and ML infrastructure at scale.
- Proficiency in Python, SQL, and cloud-native development.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Track record of deploying ML models to production at scale.





Required Skills

- 5+ years of experience in machine learning engineering, with a focus on GenAI applications for personalization.
- Strong expertise in GenAI frameworks (Lang Chain or Lang Graph) and building production-grade ML systems.
- Proven experience with GCP services and ML infrastructure at scale.
- Proficiency in Python, SQL, and cloud-native development.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Track record of deploying ML models to production at scale.

Preferred Skills

- Experience with multimodal deep learning architectures and generative AI models.
- Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering).
- Expertise in building real-time inference systems.
- Experience with distributed computing frameworks (Spark) and big data processing.
- Familiarity with Apache Airflow (Cloud Composer) and CI/CD pipelines.

"We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position."

📌 Senior Machine Learning Engineer (Toronto)
🏢 Insight Global
📍 Toronto

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