Senior Data Scientist

Hays; Canada; On-site; CAD 110,000 - 140,000; Full time

Job summary

Hays is seeking a Senior Machine Learning Engineer specializing in generative AI to architect and implement advanced models for multimodal recommendation systems. Applicants should possess a Master's or PhD in a related field along with 7+ years of hands-on experience in machine learning engineering and deep learning frameworks. This is a contract position requiring strong collaboration skills and expertise in GCP services for scalable ML infrastructure development.

Qualifications

• 7+ years of machine learning engineering experience.
• Strong expertise in deep learning and GCP infrastructure.
• Experience in deploying ML models to production.

Responsibilities

• Architect and implement advanced deep learning models.
• Lead the development of generative AI applications.
• Collaborate with product managers and data scientists.

Skills

Machine Learning Engineering

Deep Learning (PyTorch or TensorFlow)

Python

SQL

GCP Services

Containerization (Docker)

Orchestration (Kubernetes)

Education

Master's or PhD in Computer Science or Machine Learning

Job description

1 day ago Be among the first 25 applicants

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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