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Machine Learning Ai Intern Jobs in Alberta (NOW HIRING)

AltaML

Senior AI Architect

Edmonton, AB · Hybrid

CA$130K - CA$160K/yr

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI. Competitive Benefits - For all full time, permanent employees. Office as a ...

AltaML

Senior AI Architect

Calgary, AB · Hybrid

CA$130K - CA$160K/yr

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI. Competitive Benefits - For all full time, permanent employees. Office as a ...

AppDirect

Software Developer

Calgary, AB · On-site

Exposure to machine learning model integration or building AI-powered product features is an asset, not a requirement. * A strong sense of ownership, because on a team this small you will hold ...

National Bank

Senior Data Scientist

Edmonton, AB · Hybrid

A career as a senior data scientist in the Western Excellence Center AI and Transformation Delivery team at National Bank means acting as a specialist in advanced analytics, machine learning, and ...

National Bank

Senior Data Scientist

Edmonton, AB · On-site

A career as a senior data scientist in the Western Excellence Center AI and Transformation Delivery team at National Bank means acting as a specialist in advanced analytics, machine learning, and ...

DataVisor

Delivery Engineer - Canada

Calgary, AB

CA$80K - CA$120K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Its patented unsupervised machine learning technology, advanced device intelligence, powerful ...

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 ...

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Showing results 41-60

All JobsMachine Learning Ai Intern JobsMachine Learning Ai Intern Jobs in Alberta

Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities in Alberta are hiring for Machine Learning Ai Intern jobs? Cities in Alberta with the most Machine Learning Ai Intern job openings:
Machine Learning Ai Intern jobs near you

Senior Developer (AI/ML/Gen AI Solutions)

TELUS

Calgary, AB • On-site

Other

Re-posted 6 days ago

TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 97 rated telecommunications companies

Job description

Join our team and what we'll accomplish together

Join the AI Accelerator - Leading Innovation Through Technical Excellence


Are you a seasoned full stack developer passionate about leading cross-functional teams and driving technical innovation in AI? The AI Accelerator is transforming TELUS products and services through cutting-edge technology, and we're seeking a technical leader who can bridge the gap between business vision and technical execution.


In this role, you'll serve as both a technical expert and collaborative leader, working closely with diverse stakeholders to design, architect, and deliver intelligent applications that streamline operations and enhance AI delivery. You'll lead requirement gathering sessions, facilitate technical discussions, and mentor development teams while maintaining hands-on involvement in full stack development.


We're seeking an experienced Senior Full Stack Developer who excels in stakeholder management, technical leadership, and cross-functional collaboration. This role requires someone who can seamlessly transition between leading business requirement sessions, designing technical solutions, mentoring team members, and contributing to hands-on development. The ideal candidate combines deep technical expertise with exceptional communication skills and proven ability to build strong relationships across all organizational levels.

What you will do

Leadership & Collaboration:

  • Lead cross-functional teams in designing and implementing end-to-end AI/ML solutions
  • Facilitate requirement gathering sessions with business stakeholders, translating business needs into technical specifications
  • Lead technical design discussions and architecture reviews with both technical and non-technical stakeholders
  • Build and maintain strong relationships with product managers, business analysts, and executive leadership
  • Mentor and guide junior developers, fostering technical growth and best practices
  • Drive consensus across diverse teams and resolve conflicts through effective communication


Technical Excellence:

  • Architect and develop full stack solutions using modern technologies and cloud platforms (GCP/Azure)
  • Lead hands-on development of AI/GenAI automation solutions with focus on scalability and maintainability
  • Design and implement robust APIs, microservices, and distributed systems
  • Develop proof-of-concepts and prototype solutions to validate business requirements
  • Create comprehensive technical documentation and solution architectures
  • Evaluate and recommend new technologies and development practices


Stakeholder Management:

  • Present technical concepts to executive leadership and business stakeholders in accessible terms
  • Collaborate with product teams to refine requirements and propose innovative solutions
  • Manage expectations and communicate project status, risks, and dependencies effectively
  • Lead technical discussions in cross-functional meetings and steering committees
What you bring

Leadership & Communication:

  • 7+ years of software development experience with 4+ years in technical leadership roles
  • Proven track record of leading cross-functional teams and managing complex stakeholder relationships
  • Exceptional communication skills with ability to present to both technical and executive audiences
  • Experience facilitating requirement gathering, design sessions, and technical/ architecture l reviews
  • Strong relationship management skills with demonstrated ability to influence without authority
  • Experience mentoring and developing technical talent


Technical Expertise:

  • Expert-level full stack development skills with modern frameworks and technologies
  • Strong background in AI/ML solution development and implementation
  • Proven experience with cloud platforms (GCP and/or Azure) and distributed systems architecture
  • Experience with LLMs and current GenAI technologies and platforms
  • Expertise in software architecture patterns, API design, and system integration
  • Strong problem-solving abilities and analytical thinking


Technical Skills:

  • Frontend: React, modern JavaScript/TypeScript, responsive design
  • Backend: python, Node.js, microservices architecture, RESTful APIs
  • Cloud Platforms: GCP (BigQuery, Looker), Azure, serverless architectures
  • AI/ML Technologies: Machine Learning frameworks, GenAI platforms, MCP, A2A
  • Data Management: Cloud data stores, embeddings, data pipeline design
  • DevOps: CI/CD, Infrastructure as Code, containerization
  • Databases: Vector databases, SQL and NoSQL databases, data modeling


Great-to-have:

  • Cloud certifications (GCP Professional or Azure Solutions Architect)
  • Advanced degree in technical field
  • Experience with large-scale system migrations and transformations
  • Open-source contributions and community involvement
  • Experience in regulated industries
  • Previous experience managing technical teams 

Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.) as part of this position's main responsibilities given its national scope.

What TELUS employees say

Pay

Hours and flexibility

Workplace

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