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Machine Intelligence Jobs in Calgary, AB (NOW HIRING)

TELUS

Senior Market Intelligence Manager

Calgary, AB · Remote

Experience with predictive analytics, machine learning, or AI integration within a business intelligence or market intelligence context * Familiarity with telecom-specific metrics, sales channel data ...

Aerotek

Machine Operator

Calgary, AB

CA$22 - CA$26/hr

Job Title: Machine Operator As a Machine Operator, you will be responsible for setting up and ... Utilisation de l'intelligence artificielle (IA): Nous pouvons utiliser l'intelligence artificielle ...

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning ...

Aerotek

General Production Worker

Calgary, AB

CA$25/hr

Operate machinery and complete general labour tasks Must-Haves * 2+ years in production or ... Utilisation de l'intelligence artificielle (IA): Nous pouvons utiliser l'intelligence artificielle ...

BigGeo

Spatial AI Engineer

Calgary, AB

You will design and implement machine learning systems that operate directly on spatial datasets inside The Spatial Cloud, turning raw location and time data into intelligence that applications and ...

Aerotek

Tile Cutter

Calgary, AB

CA$21/hr

Combines general labour, machine operation, and material handling in a small, team-oriented ... Utilisation de l'intelligence artificielle (IA): Nous pouvons utiliser l'intelligence artificielle ...

New

Revsolz Corp

Technical Sales Representative

Calgary, AB · On-site

You will be expected to have a deep understanding of our cloud-based software platform, artificial intelligence, machine learning and oil & gas technologies that power it. You will use this knowledge ...

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business intelligence across complex operations, in any industry. Reporting Structure/Department Reporting to the ...

Olsen

Senior Data Analyst

Calgary, AB · Remote

... and Machine Learning algorithms in a business context - Academic rigor with a propensity for ... Benefits of Working at Olsen Consulting - A team environment that thrives on intellectual curiosity ...

Olsen Consulting

Senior Data Analyst

Calgary, AB · On-site +1

... and Machine Learning algorithms in a business context - Academic rigor with a propensity for ... Benefits of Working at Olsen Consulting - A team environment that thrives on intellectual curiosity ...

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All JobsMachine Intelligence JobsMachine Intelligence Jobs in Calgary, AB

Machine Intelligence information

See Calgary, AB salary details

$21.5K

$107K

$175.5K

How much do machine intelligence jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine intelligence in Calgary, AB is $107,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine intelligence engineers, especially those with expertise in deep learning, natural language processing, and large-scale AI systems, can earn $500,000 or more annually. These roles often require advanced degrees, extensive experience, and proficiency with tools like TensorFlow or PyTorch, typically in high-demand industries such as technology and finance.

What is the difference between Machine Intelligence vs Data Scientist?

AspectMachine IntelligenceData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in machine learning or AIDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups; focus on developing algorithms and modelsBusiness environments, analytics firms; focus on data analysis, insights, and modeling
Employer & Industry UsageTech companies, AI research institutions, roboticsFinance, healthcare, marketing, tech industries

Machine Intelligence involves developing algorithms and systems that enable machines to perform tasks that typically require human intelligence. Data Scientists analyze and interpret complex data to inform decision-making. While both roles require knowledge of machine learning, Machine Intelligence focuses on creating intelligent systems, whereas Data Scientists focus on extracting insights from data.

Can I learn ML in 3 months?

Machine Intelligence roles often require a strong understanding of machine learning (ML), which typically takes longer than three months to master fully. However, with intensive study, focusing on core concepts, algorithms, and practical projects, it is possible to gain a foundational understanding within that timeframe, especially if you have prior programming experience and dedicate consistent effort. Building proficiency for a professional role usually involves ongoing learning beyond initial months.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

Is ML a high paying job?

Machine Learning (ML) roles are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML positions offer competitive compensation compared to other tech roles.
What cities near Calgary, AB are hiring for Machine Intelligence jobs? Cities near Calgary, AB with the most Machine Intelligence job openings:
Machine Intelligence jobs near you

Senior Market Intelligence Manager

TELUS

Calgary, AB • Remote

Other

This job post has expired today. Applications are no longer accepted.

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 78 rated telecommunications companies

Job description

Description

Our team and what we'll accomplish together

The Forecasting, Performance and Planning team within Home Solutions Growth Marketing is building something new - and you'll be at the center of it. As a Senior Market Intelligence Manager, you'll be a founding force in establishing a brand new analytics function, shaping the tools, processes, and insights that inform our most senior leaders. Working at the intersection of data, strategy, and business performance, you'll collaborate across Finance, Sales, and Marketing to deliver intelligence that drives executive-level decision making at TELUS.

What you'll do

  • Design and develop a centralized key performance indicator (KPI) dashboard, integrating data across multiple datasets and stakeholders to deliver clear, actionable insights for both VP and working-level audiences
  • Partner with Finance Business Intelligence (BI), Sales Channel BI, and Marketing teams to align on data sources, definitions, and reporting standards across the organization
  • Build and maintain automated data pipelines and visualizations that reduce manual effort and improve reporting efficiency across the team
  • Conduct ad hoc analysis and reporting to support strategic business decisions, translating complex financial and operational data into clear, compelling narratives
  • Apply advanced SQL, GCP BigQuery, and data federation techniques to blend and manage large, complex datasets from multiple sources
  • Develop and optimize Tableau dashboards that bring data to life for a range of audiences, from technical teams to senior leadership
  • Bring curiosity and a proactive mindset to the data, continuously exploring new insights, identifying previously undetected trends, and championing opportunities to integrate predictive analytics, machine learning, and AI capabilities to evolve the team's analytical maturity over time

#LI-REMOTE

Qualifications

What you bring

  • 5+ years of experience in data analytics, market intelligence, business intelligence, or a related field, with a proven track record of delivering insights that drive strategic decisions
  • Advanced proficiency in SQL and GCP BigQuery, with hands-on experience in data federation, blending, and managing complex, multi-source datasets
  • Expert-level Tableau skills, including dashboard design, visualization optimization, and translating data into compelling stories for diverse audiences
  • Strong financial literacy, with the ability to analyze and interpret financial data and integrate it into business performance reporting
  • Demonstrated ability to work independently and navigate ambiguity, with the confidence to build processes and documentation from the ground up in a new or evolving function
  • Exceptional communication and data storytelling skills, with the ability to present complex insights clearly and concisely to both technical and non-technical stakeholders
  • Proven experience managing complex stakeholder relationships across multiple business functions, with strong prioritization and organizational skills
  • Goal-oriented thinker with a solutions-focused mindset and the ability to balance competing priorities in a fast-paced environment

Great-to-haves

  • Experience with predictive analytics, machine learning, or AI integration within a business intelligence or market intelligence context
  • Familiarity with telecom-specific metrics, sales channel data, or financial data within a large, matrixed organization
  • Experience building and scaling analytics functions or processes from the ground up in a new or emerging team environment

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