drjobs Machine Learning Architect - Contract 123681

Machine Learning Architect - Contract 123681

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

GFT Technologies is a global digital transformation company with over 12000 solutionoriented technology professionals across 22 countries. As a digital transformation leader with a passion for innovation we leverage nextgeneration 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 Lets Go Beyond !

We are currently seeking an experienced professional to join our team in the role ofMachine Learning Architect Contract

Here some 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:

  • 57 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 largescale data processing.
  • Excellent communication and collaboration skills both technical and nontechnical.
  • Proficiency in English (written and spoken)

Note: This is a contract role: 612 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.

Employment Type

Contract

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.