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1,088

Machine Learning Engineer jobs in Canada

Agentic AI Implementation Consultant

Netomi

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago
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Data Engineer: Scale Pipelines, BI & Cloud Data

Medium

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Senior Frontend Engineer, Data Browsing

Sentry.io

Toronto
Hybrid
CAD 206,000 - 288,000
30+ days ago

IT Analyst

David Aplin Recruiting

Winnipeg
On-site
CAD 70,000 - 90,000
30+ days ago

Data Modeler

Cpus Engineering Staffing Solutions Inc.

Toronto
Hybrid
CAD 85,000 - 110,000
30+ days ago
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Staff Marketing Data Scientist - Lead Measurement & Growth

Thumbtack

Canada
Remote
CAD 80,000 - 110,000
30+ days ago

Senior Data Scientist (Remote)

The Athletic Media Company

Canada
Remote
CAD 80,000 - 110,000
30+ days ago

Data Scientist - Build ML Models that Drive Product Impact

CLōD

Vancouver
On-site
CAD 80,000 - 100,000
30+ days ago
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Senior Consultant - AI Governance

KPMG LLP Canada

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago

Data Engineer: Petabyte-Scale Pipelines on AWS (Python)

HRB

Canada
Remote
CAD 80,000 - 120,000
30+ days ago

Procurement Operations Data Analyst

Starlight Investments

Canada
On-site
CAD 60,000 - 80,000
30+ days ago

Senior Associate, Azure Data Engineer

PricewaterhouseCoopers International

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

On-Demand Transit Data Analyst — KPIs & Client Impact

RideCo Inc.

Waterloo
On-site
CAD 80,000 - 90,000
30+ days ago

Data Engineer: Duurzaam Pensioen, Hybride Werken

PHP Professionals

Victoria
Hybrid
CAD 60,000 - 80,000
30+ days ago

Senior Azure Data Engineer — Hybrid Data Platform Lead

PricewaterhouseCoopers International

Toronto
Hybrid
CAD 80,000 - 110,000
30+ days ago

Sr. Full-Stack Data Scientist - Data Services

Aylo Careers

Montreal (administrative region)
On-site
CAD 85,000 - 120,000
30+ days ago

Data Scientist

IrisCX

Calgary
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Data Scientist - Hybrid: Scale Big Data & Safe UX

Aylo Careers

Montreal
Hybrid
CAD 85,000 - 120,000
30+ days ago

Data Scientist - NLP, CV & Production ML (Remote)

IrisCX

Calgary
Hybrid
CAD 80,000 - 100,000
30+ days ago

Data Analyst - remote

HR Ways

Canada
Remote
CAD 60,000 - 80,000
30+ days ago

Contract Senior Finance Analyst — Data-Driven FP&A

Reckitt

Mississauga
On-site
CAD 60,000 - 80,000
30+ days ago

Data Engineer

Medium

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Data Engineer: Lakehouse Pipelines & BI Analytics

Telesat

Ottawa
Hybrid
CAD 80,000 - 100,000
30+ days ago

Operational Risk Data Analyst — KPI & KRIs Reporting

IFG International Financial Group Ltd

Canada
Hybrid
CAD 80,000 - 100,000
30+ days ago

Senior Data Analytics Engineer & Data Insights Architect

Nexus Systems Group Inc.

Toronto
On-site
CAD 90,000 - 130,000
30+ days ago

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Senior Implementation Consultant
Netomi
Toronto
On-site
CAD 90,000 - 120,000
Full time
30+ days ago

Job summary

A leading AI solutions provider in Toronto is looking for a seasoned consultant to implement SaaS solutions effectively. You will need strong project management skills and familiarity with various technical tools. This position requires at least 8 years of experience, with a focus on optimizing performance in AI deployment and delivery. The role is pivotal for enhancing customer relations and ensuring successful project executions.

Qualifications

  • 8-10 years of experience preferred in Project Management.
  • 4 years in a SaaS-based organization essential for solution design.
  • Experience with configuring SaaS platforms needed.

Responsibilities

  • Scope projects and provide effort estimations and timelines.
  • Lead discovery calls and work with cross-functional teams.
  • Serve as a solution architect on complex projects.

Skills

Project Management
Client/Stakeholder Management
Strong Communication Skills
Data Analytics
Troubleshooting

Education

Experience in SaaS Implementation
Overall Experience 8-10 Years

Tools

SQL
JSON
API Integrations
Postman
Datadog
Swagger
Zapier
Job description
About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role

We are seeking individuals with business and technology consulting experience to configure and implement SaaS solutions for our customers. Consultants function as integrators between business needs and technology solutions. Your efforts will directly impact the value realized by the customer and the ultimate success of the relationship. This role will work closely with customers and will be part of the Netomi delivery team to design and configure customer solutions. If you have the passion and energy to work in an entrepreneurial and fast-paced environment, you are the person we are looking for!

Responsibilities
  • Scope out projects and provide effort estimations and timelines in conjunction with sales and customer success managers(CSM).
  • Lead Discovery calls with customers and cross functional team.
  • Partners with CSMs to ensure successful delivery by leading technical project activities, including solution architecture design.
  • Serves as solution architect on moderate to complex projects requiring integration with multiple products.
  • Performs complex configuration, troubleshooting of Netomi’s solution(s).
  • Ensure Project/Process Documentation on the centralized repository.
  • Participates in reviews(as and when required) with the customers and provide guidance regarding best practices.
  • Collaborate with different teams for effective troubleshooting of customer issues during deployment & post deployment.
  • Leads business discussions regarding Netomi’s value proposition at different levels of customer organization.
  • Strong on data analytics and providing insights to the customer.
  • Focus on driving efficiency in project delivery through initiatives.
  • Analyse the customer health and create a plan to improve and Optimize the performance on AI Agent.
Requirements
  • Overall Experience 8-10 Years experience in Project Management preferably from a consulting organisation.
  • Should have spent at least 4 years for a SaaS based organisation conceptualising, designing and deploying the solution.
  • Articulate and possesses proficiency in client/stakeholder management.
  • Strong communication skills both written and verbal.
  • Ability to deliver under stressful condition.
  • Ability to interpret functional specifications and translate them into technical configurations.
  • Experience in implementation of SaaS product is a must.
  • Understand basics of SQL and relational databases.
  • Strong tool experience with JSON, Datadog, Postman, API Integrations.
  • Ability to set up custom fields, workflows, business rules, and automation triggers.
  • Familiarity with authentication methods such as OAuth, JWT, and API tools like Swagger, Zapier.
  • Hands-on experience configuring SaaS platforms (e.g., Salesforce, Zendesk, Netomi, HubSpot, Workday, or ServiceNow).
  • Basic proficiency in JavaScript, Python, or Node.js for customization or integration scripting.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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