Senior Data Scientist

Hays; Toronto; On-site; CAD 135,000 - 175,000; Full time

Job summary

A leading staffing firm is seeking a Senior Machine Learning Engineer with expertise in Generative AI. In this role, you will architect advanced deep learning models and optimize ML infrastructure on GCP. This six-month contract offers the chance to drive innovation in multimodal recommendation systems, collaborating with diverse teams to deliver impactful solutions.

Qualifications

• 7+ years of experience in machine learning engineering, focusing on recommendation systems.
• Strong expertise in deep learning frameworks, particularly PyTorch or TensorFlow.
• Proven experience with GCP services and scaling ML infrastructure.

Responsibilities

• Architect and implement advanced deep learning models for multimodal recommendation systems.
• Develop and optimize generative AI applications for enhanced customer engagement.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Skills

Deep learning frameworks

Python

Machine learning engineering

Cloud-native development

Recommendation systems

Containerization

Orchestration

Education

Master's or PhD in Computer Science or related field

Tools

GCP services

Docker

Kubernetes

Apache Airflow

Job description

Sr. ML engineer with GenAI

Contract 6+ Month

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.
• 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 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.

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, or related field.
• 7+ years of experience in machine learning engineering, with 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.

Preferred Qualifications

• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Staffing and Recruiting

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