1

Machine Learning Devops Engineer Jobs in Waterloo, ON

AI Engineering Specialist

Waterloo, ON · On-site

CA$108K - CA$152K/yr

... HR, Operations, Engineering support), find the highest-value use cases, prototype agents and ... asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate.

... Machine Learning, Artificial intelligence, Engineering) • A Master's degree is considered ... operational intelligence initiatives. • Proficiency in programming languages like Python, R, or ...

Experience with DevOps pipelines like ( Git , Maven , TeamCity ) are considered an asset * Experience with cloud ( AWS or Azure ) is considered an asset Perks: * Competitive Salary * Potential for ...

Experience with DevOps pipelines like ( Git , Maven , TeamCity ) are considered an asset * Experience with cloud ( AWS or Azure ) is considered an asset Perks: * Competitive Salary * Potential for ...

Lead Software Developer

Waterloo, ON · On-site

CA$118K - CA$168K/yr

Req# 53332 - Lead Software Developer (DevOps) Cloud/SaaS Full time On-Site opportunity Locations: in Mississauga, Richmond Hill or Waterloo, Ontario You are part of an Engineering organization ...

Drive DevOps adoption, CI/CD automation, and infrastructure-as-code practices. * Support production ... Passionate about continuous improvement, learning, and innovation. * Committed to quality-first ...

The role is approximately 50% internal IT operations and 50% project work across automation, AI/MCP, and DevOps. As our internal IT owner, you'll also regularly work from our Guelph, Ontario office ...

The role is approximately 50% internal IT operations and 50% project work across automation, AI/MCP, and DevOps. As our internal IT owner, you'll also regularly work from our Guelph, Ontario office ...

Showing results 41-60

Machine Learning Devops Engineer information

What cities near Waterloo, ON are hiring for Machine Learning Devops Engineer jobs?

Cities near Waterloo, ON with the most Machine Learning Devops Engineer job openings:

Intermediate-Senior Pavement Engineer

Cambridge, ON • On-site

Full-time

Re-posted 15 days ago


Job description

Overview / Responsibilities

Wood is seeking an Intermediate-Senior Pavement Engineer to join our specialty pavement consultancy based in the GTA, ideally in Burlington, Cambridge or Oakville, ON. We are seeking a motivated self-starter equally comfortable in a collaborative team setting, with considerable independence.

Key Responsibilities

  • Contributes technical specialization within Wood's pavement consultancy group
  • Provides advanced technical knowledge in pavement management and pavement engineering projects for provincial and local governments, and for industrial-commercial clients
  • Contributes to complex projects, and leads tasks or phases of large projects
  • Contributes to business development opportunities through technical proposal development, networking, specialized service offerings and with time, professional reputation
  • Contributes positively to a committed, professional team environment.
  • With time, develops as an expert resource working across the company
Skills / Qualifications
  • BSc or higher in Civil Engineering
  • Minimum 5 years of pavement engineering
  • Asphalt Concrete Pavement (ACP) structural designs
  • Portland Cement Concrete (PCC) structural designs
  • ACP and PCC mix design reviews
  • Pavement evaluation, preservation and rehabilitation
  • Knowledge of roadway or airport pavement research, management, evaluation, design, and /or construction is required
  • Excellent spreadsheet skills for engineering applications are required
  • Must pass drug screen, background check, and must have a satisfactory driving record in accordance with the Company's driving (MVR) policy

Desirable (not required) Qualifications:

  • Strong understanding of statistical principles
  • Falling Weight Deflectometer (FWD) analysis
  • Ground Penetrating Radar (GPR) analysis
  • Puts and roughness data (IRI, RUT) analysis
  • AASHTO Mechanistic Empirical design procedures
  • Experience developing statistical models and applying machine learning approaches
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement (EEO)

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER