Canada Home Based Intelligence analytics engineer Jobs – 150 Openings This Week

Consultant, Data Analytics
EPAM Systems, Inc. —Remote
- Remote
- Azure
- Computer Science
- Master's degree
- Employee stock purchase plan
- Disability insurance
Lead DevOps Engineer - Observability & Monitoring
EPAM Systems, Inc. —Remote
- $130,000–$160,000 a year
- On call
- Remote
- Azure
- Computer Science
- DevOps
- Employee stock purchase plan
- Disability insurance
Senior Product Manager, AI and Analytics
Intelex —Remote
- $129,700–$216,100 a year
- Remote
- Azure
- Computer Science
- Engineering
4d
Director, Data Engineering
SQUIRE —Remote
- $200,000–$230,000 a year
- Full-time
- Remote
- Salesforce
- SQL
- JavaScript
- Dental care
- Paid time off
Quick apply
5d
Staff Software Engineer, Identity and Access Management
Kong —Toronto, ON
- $163,685–$245,800 a year
- Full-time
- Remote
- System design
- APIs
- Analytics
Cybersecurity Operations Architect
Vertex, Inc. —Remote
- $191,600–$249,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- AWS
5d
Full-Stack Software Engineer, AI-Enabled Platform (Remote Canada)
Directive —Ottawa, ON
- Full-time
- Remote
- DevOps
- Databases
- SQL
LSO GEO 3A - Mineral Potential Geoscientist
BC Public Service —Victoria, BC
- $84,925.09–$108,758.98 a year
- Overtime
- Hybrid work
- Oracle
- Master's degree
- Supervising experience
10d
Software Engineer, Platform - Toronto, Canada
Speechify —Toronto, ON
- Remote
- Azure
- Doctoral degree
- AWS
4d
Senior Fullstack Engineer (TypeScript)
Northbeam —Toronto, ON
- $170,000–$200,000 a year
- 8 hour shift
- Remote
- SQL
- APIs
- Communication skills
- Dental care
- Paid time off
Quick apply
12d
Senior Software Engineer, Konnect Admin/Billing
Kong —Toronto, ON
- $145,000–$165,000 a year
- Full-time
- Remote
- Computer science
- System design
- AWS
Data Analyst (English version)
Averna —Montréal, QC
- Full-time
- Remote
- Bilingual
- Computer Science
- English
Quick apply
Staff Data Platform Engineer
OXIO —Montréal, QC
- Full-time
- Hybrid work
- SQL
- AWS
- APIs
Director of Engineering, Data
Xsolla —Remote
- $120,000–$160,000 a year
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Paid time off
Quick apply
Senior ASIC Methodology Engineer - LPU Division
NVIDIA —Remote
- $135,000–$220,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- Master's degree
Java - Workday Developer
Atimi —Vancouver, BC
- $120,000–$180,000 a year
- Full-time
- Remote
- Computer Science
- Salesforce
- Engineering
- Paid time off
- Work from home
Quick apply
7d
Data Architect
Infostrux Solutions Inc —Toronto, ON
- $120,000–$170,000 a year
- Remote
- Azure
- Oracle
- Java
- Flexible schedule
Principal Software Engineer - Platform, Identity and BI
Calabrio —Toronto, ON
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
Quick apply
Senior Technical Product Manager — Customer Workflow
FutureFit AI —Toronto, ON
- $125,000–$160,000 a year
- Full-time
- Remote
- Travel
- AI
- Analytics
Full-Stack Data Platform Engineer
Reflow —Toronto, ON
- Full-time
- Remote
- SQL
- APIs
- Python
Quick apply

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intelligence analytics engineer jobs near canada home based

Consultant, Data Analytics

EPAM Systems, Inc. -
Remote

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Job details

Qualifications

Ontology
TensorFlow
Azure
Computer Science
PyTorch
Google Cloud Platform
SPARQL
Master's degree
AWS
C
Bachelor's
RDF
Business requirements
Leadership
Communication skills
Python
Data Science

Full job description

If you are an AI builder who thrives on taking ideas from vision to whiteboard (or demo) to production — and enjoys collaborating within a larger team to shape the future of enterprise AI — this role is for you.

We are looking for Managers within our Data & AI Consulting Practice to own the full AI lifecycle: shaping end-to-end solutions during pre-sales, leading enterprise ML/GenAI programs into production, as well as work on building scalable, market-ready AI offerings. This is a hands-on leadership role for technologists who combine deep engineering capability with client engagement and commercial ownership, delivering measurable enterprise impact beyond proof-of-concept initiatives.

Req# 1027351753

Responsibilities

Lead the full AI lifecycle — from pre-sales solutioning (RFPs, proposals, scoping/pricing) through production delivery of enterprise ML/GenAI programs, on time and on budget
Provide hands-on technical leadership in AI Engineering, driving design, development, and implementation of solutions across client engagements
Serve as a trusted AI advisor to client stakeholders (including C-level), championing enterprise-wide AI adoption and translating business challenges into actionable AI strategies
Collaborate cross-functionally and across geographies to shape scalable AI offerings, products, and differentiators for target verticals

Requirements

Strong hands-on AI expertise with a track record of production delivery (model architectures, quality metrics, MLOps); proficiency in Python and frameworks such as PyTorch/TensorFlow; familiarity with platforms like GCP, AWS, Databricks, or Azure
Demonstrated leadership in driving multi-dimensional teams and influencing senior stakeholders to secure funding and deliver AI products
Knowledge of semantic technologies (Ontology, Knowledge Graphs, OWL, RDF, SPARQL, SHACL) is a strong plus
Excellent communication and problem-solving skills — able to translate complex technical concepts and business requirements into practical, scalable AI solutions for diverse audiences
Bachelor's/Master's in Computer Science, Data Science, or related field (or equivalent experience)

We offer

Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
Life and AD&D Insurance (Company Paid)
Employee Assistance Program (Company Paid)
Telehealth (Company Paid)
Short-term Disability (Company Paid)
Long-Term Disability
Paid Time Off (including vacation and sick days)
Registered Retirement Savings Plan (RRSP) with Company match
Maternity/Parental/Adoption Leave Top-up
Employee Stock Purchase Program
Critical Illness Insurance
Employee Discounts
Unlimited access to LinkedIn learning solutions

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.

Apply Now

Refine Your Search

intelligence analytics engineer jobs in canada home based

Consultant, Data Analytics

Lead DevOps Engineer - Observability & Monitoring

Senior Product Manager, AI and Analytics

Director, Data Engineering

Staff Software Engineer, Identity and Access Management

Cybersecurity Operations Architect

Full-Stack Software Engineer, AI-Enabled Platform (Remote Canada)

LSO GEO 3A - Mineral Potential Geoscientist

Software Engineer, Platform - Toronto, Canada

Senior Fullstack Engineer (TypeScript)

Senior Software Engineer, Konnect Admin/Billing

Data Analyst (English version)

Staff Data Platform Engineer

Director of Engineering, Data

Senior ASIC Methodology Engineer - LPU Division

Java - Workday Developer

Data Architect

Principal Software Engineer - Platform, Identity and BI

Senior Technical Product Manager — Customer Workflow

Full-Stack Data Platform Engineer

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