Machine Learning Engineer

Insight Global; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A renowned technology consulting firm located in Toronto is seeking a Machine Learning Engineer to architect and implement deep learning models for recommendation systems. The ideal candidate will have a Master's or PhD in a related field and over 5 years of experience specializing in machine learning engineering. The role includes collaborating with teams to develop generative AI applications and building scalable ML infrastructures using GCP services. This position offers an inclusive work environment and a commitment to equal opportunity employment.

Qualifications

• 5+ years of experience in machine learning engineering, focusing on recommendation systems.
• Proven experience deploying ML models to production at scale.
• Strong expertise building production-grade ML systems.

Responsibilities

• Architect and implement advanced deep learning models for recommendation systems.
• Lead the development of generative AI applications.
• Design scalable ML infrastructure using GCP services.

Skills

Recommendation systems

Deep learning frameworks (PyTorch or TensorFlow)

Python

SQL

Containerization (Docker)

Orchestration (Kubernetes)

Education

Master's or PhD in Computer Science, Machine Learning, or related field

Tools

GCP services

Job description

Job Description

What You'll Do

Architect and implement advanced deep learning models for multimodal

recommendation systems, processing diverse data types including text, images, user

behavior, item features, offer data, and contextual signals.

Lead the development and optimization of generative AI applications for personalized

product discovery, search enhancement, and customer engagement.

Expert in leveraging cutting-edge GenAI techniques, prompt engineering, transformer

architectures, and own end-to-end development of scalable AI/ML pipelines

Design and maintain highly scalable ML infrastructure using GCP services (Vertex AI,

BigTable, BigQuery, Cloud Composer) capable of handling millions of daily predictions.

Build and optimize end-to-end ML pipelines for model training, deployment, and

monitoring at scale.

Drive technical strategy and architecture decisions for the personalization platform.

Collaborate with product managers, data scientists, and engineers to translate business

requirements into robust technical solutions.

Lead experimentation strategies with measurable KPIs including adoption, conversion &

retention.

Mentor junior team members and contribute to building a strong technical culture.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

Master's or PhD in Computer Science, Machine Learning, or related field.

5+ years of experience in machine learning engineering, with a focus on recommendation

systems or personalization.

Strong expertise in deep learning frameworks (PyTorch or TensorFlow) and building

production-grade ML systems.

Proven experience with GCP services and ML infrastructure at scale.

Proficient in Python, SQL, and cloud-native development.

Experience with containerization (Docker) and orchestration (Kubernetes).

Track record of deploying ML models to production at scale. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].