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Ml Platform Engineer Jobs in Alberta (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Edmonton, AB · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

Calgary, AB · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

KPMG

Manager, ML/AI Engineer, Data & AI

Calgary, AB · On-site

Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model ... Develop and optimize AI and GenAI solutions using state-of-the-art tools and platform (AI Foundry ...

Blend360

AI and Data Engineer

Edmonton, AB · On-site

The platform is being built from the ground up, and every technical decision you make will shape ... Develop and iterate on AI/ML components -- including LLM-based agents, embedding models, and ...

YO AI Labs

Mental Health Expert - Remote

Edmonton, AB · Remote

$200 - $350/hr

... engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML solutions using LLMs ...

YO AI Labs

Mental Health Expert - Remote

Calgary, AB · Remote

$200 - $350/hr

... engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML solutions using LLMs ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Working with our data science team to integrate ML/AI models into the platform. * Integrating ... Engineering or Computer Science. * Development experience utilizing Java, Kotlin, SQL, Python ...

Takeaway

Senior Machine Learning Engineer

Edmonton, AB · On-site

... platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role: As a Senior ML Engineer you will take a ...

Deloitte

Data Science Manager

Calgary, AB · On-site

... and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration. • Experience with cloud ML platforms (AWS, GCP, Azure) is an asset. • Experience with natural ...

ShyftLabs

Data Engineer

Calgary, AB

Position Overview We are looking for an experienced and versatile Data Engineer to join our dynamic ... Experience working with AI-driven platforms, data infrastructure supporting AI/ML systems, or ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in Alberta

Ml Platform Engineer information

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What are popular job titles related to Ml Platform Engineer jobs in Alberta?

For Ml Platform Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Ml Platform Engineer jobs in Alberta look for?

The top searched job categories for Ml Platform Engineer jobs in Alberta are:

Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in Alberta as of August 2026, with employment types broken down into 57% Full Time, 41% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

AI/ML Engineer - Remote

YO AI Labs

Edmonton, AB • Remote

$200 - $350/hr

Full-time

Posted 7 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.