guelph on cloud engineer Jobs – 105 Openings This Week

Senior Software Developer, AI/ML, Conversational Insights
Google —Waterloo, ON
- $182,000–$187,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
2d
Senior Data Engineer
Alpaca —Waterloo, ON
- Remote
- DevOps
- SQL
- APIs
Quick apply
AI Software Lead
Ironbelly Studios —Waterloo, ON
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Senior Embedded Developer
Planitar —Waterloo, ON
- $112,000–$134,000 a year
- Full-time
- Hybrid work
- AWS
- C++
- APIs
- Dental care
Quick apply
10d
AI Vision Fullstack Developer
Ironbelly Studios —Waterloo, ON
- DevOps
- AWS
- APIs
Quick apply
Technical Architect & Engineering Lead
Bridgeport Crew —Kitchener, ON
- $70,000–$100,000 a year
- Azure
- DevOps
- System design
Quick apply
Director, Developer Operations and Experience
Miovision —Kitchener, ON
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
Quick apply
Job Captain - Architectural
New Generation Design Wave —Waterloo, ON
- $84,000–$110,000 a year
- Full-time
- AutoCAD
- Microsoft Office
- Project management
- Dental care
- Employee assistance program
Quick apply
DevOps and Cloud Manager
The Land Administration Company Inc —Canada
- $130,000–$155,000 a year
- Full-time
- DevOps
- AWS
- Continuous improvement
- Disability insurance
- Dental care

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Senior Software Developer, AI/ML, Conversational Insights

Google -
Waterloo, ON

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Job details

Full-time
$182,000–$187,000 a year
2 days ago

Qualifications

French
Doctoral degree
Computer Science
Engineering
Data structures
Google Cloud Platform
Master's degree
Bachelor's
Distributed systems
Natural language processing
Software development
AI
Leadership
Debugging

Full job description

This posting is for a new vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

If needed, use this French Canadian translation: "Google utilise des outils d'IA pour faciliter l'évaluation des candidats dans le cadre de nos processus de recrutement."
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
5 years of experience with data structures and algorithms.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, Customer Experience Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), and other domain packaged solutions. We deliver new 0-to-1 capabilities with startup agility at the forefront of AI, collaborating directly with model builders. Join us to shape the future of AI in a fast-paced, collaborative environment.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

The Canada base salary range for this full-time position is CAD 182,000-187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Develop and implement investigative tools for AI Agent performance.
Design and build recommendation systems for AI Agents.
Develop skill discovery and matching capabilities for AI Agents.
Manage stakeholders effectively and solve ambiguous technical challenges, contributing to the overall strategy and road map for the team.
Provide coaching to your team, and contribute to Google's culture and operations.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

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cloud engineer jobs in guelph on

Senior Software Developer, AI/ML, Conversational Insights

Senior Data Engineer

AI Software Lead

Senior Embedded Developer

AI Vision Fullstack Developer

Technical Architect & Engineering Lead

Director, Developer Operations and Experience

Job Captain - Architectural

DevOps and Cloud Manager

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