Machine Learning Architect - Contract

GFT Group; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a talented Machine Learning Architect to join their innovative team. This contract position offers the opportunity to design and implement cutting-edge MLOps solutions, ensuring seamless integration and deployment of machine learning models. The ideal candidate will have a strong background in MLOps, experience with cloud infrastructure, and proficiency in CI/CD tools. Join a forward-thinking company that values diversity and inclusion, and make a significant impact in the digital transformation landscape. If you are passionate about technology and eager to drive change, this role is perfect for you.

Qualifications

• 5-7 Jahre Erfahrung in MLOps, Data Science oder DevOps.
• Kenntnisse in CI/CD-Tools und Cloud-Infrastrukturmanagement.

Responsibilities

• Entwicklung und Wartung effizienter MLOps-Lösungen für ML-Modelle.
• Zusammenarbeit mit Data Science-Teams zur Übersetzung von Modellanforderungen.

Skills

MLOps

Data Science

DevOps

CI/CD

AWS

Docker

Kubernetes

Git

DVC

MLflow

Kubeflow

Tools

Jenkins

GitLab CI

CircleCI

Job description

GFT Technologies is a global digital transformation company with over 12,000 solution-oriented technology professionals across 22 countries. As a digital transformation leader with a passion for innovation, we leverage next-generation technologies to raise our clients’ productivity with intelligent software solutions focused on Enterprise AI and Data, NextGen Finance and Platform Modernisation. Our strength is grounded in deep technological expertise, a strong ecosystem of partners, and profound industry knowledge across Banking, Insurance and Manufacturing and Automotive. In Canada, we have offices in Toronto, Quebec & Montreal. Be a part of our wonderful team and “Let’s Go Beyond !”

We are currently seeking an experienced professional to join our team in the role of Machine Learning Architect – Contract.

Key Responsibilities:

• Design, develop, and maintain efficient MLOps solutions for continuous integration and continuous deployment (CI/CD) of machine learning models.
• Collaborate with data science teams to understand model requirements and translate them into robust MLOps solutions.
• Implement tools and pipelines to automate the model lifecycle, including data preprocessing, training, testing, deployment, and monitoring in production.
• Manage the scaling of machine learning models for production environments, ensuring performance and scalability.
• Implement version control practices and model tracking to ensure traceability, reproducibility, and governance.
• Work with cloud infrastructure (AWS) and containerization tools (Docker, Kubernetes).
• Ensure continuous monitoring of models in production to maintain accuracy, detect drifts, and recommend adjustments.
• Collaborate with security teams to ensure compliance with data and model security standards and best practices.
• Participate in the evaluation and integration of new technologies and best practices in the MLOps ecosystem.

Required Skills and Qualifications:

• 5-7 years of experience in MLOps, Data Science, or DevOps, with expertise in deploying ML models to production environments.
• Proficiency in version control tools (Git, DVC) and deployment frameworks.
• Strong experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI for automating ML workflows.
• Deep knowledge of cloud infrastructure management (AWS) and container orchestration tools (Docker, Kubernetes).
• Experience with model management systems (MLflow, Kubeflow, etc.).
• Experience with databases and handling large-scale data processing.
• Excellent communication and collaboration skills, both technical and non-technical.
• Proficiency in English (written and spoken).

Note: This is a contract role: 6-12 months.

Diversity & Inclusion: #MakeyourMark

Diversity is the key to a successful company. At GFT we are committed to cultivating, fostering, and preserving a culture of diversity, equity, and inclusion. We want to work with you because of your skills and your talent regardless of your age, ethnicity, gender identity, or physical ability. We know that being a diverse, inclusive employer will help us live up to our social responsibility and make a difference.