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Datatonic

Machine Learning Engineer

Datatonic

Machine Learning Engineer developing AI and data-driven solutions at Datatonic. Engaging in technical projects and leading client discussions with expertise in Python and machine learning.

Posted 4/20/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudFlaskPythonSQL

About the role

Key responsibilities & impact
  • Interpret vague requirements and develop models to solve real-world problems.
  • Conduct ML experiments using programming languages with machine learning libraries.
  • Leverage generative AI to develop innovative solutions.
  • Optimise machine learning solutions for performance and scalability.
  • Implement tailored machine learning code to meet specific needs.
  • Ensure efficient data flow between databases and backend systems.
  • Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
  • Create machine learning architectures using Google Cloud tools and services.
  • Build and deploy production-grade software for machine learning and data-driven solutions.

Requirements

What you’ll need
  • Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.
  • Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
  • Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
  • Hands-on experience with foundational software engineering practices.
  • Strong knowledge of SQL for querying and managing data.
  • Experience scaling computations using GPUs or distributed computing systems.
  • Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
  • Strong communication and presentation skills to effectively convey technical concepts.

Benefits

Comp & perks
  • 20 days of paid vacation per calendar year
  • Public Holidays for your Province of Residence
  • 5 Wellness days (sickness, personal time, mental health)
  • 5 Lifestyle days (religious events, volunteer day, sick day)
  • Matching Group Retirement Savings Plan after 3 months
  • Competitive Group Insurance plan on Day 1 - individual premium paid 100%!
  • Virtual Medicine and Family Assistance Program - 100% employer-paid!
  • Home office budget - We are 100% remote!
  • CAD $70/month for internet/phone expenses
  • Company-supplied MacBook Pro or Air
  • CAD $400/year for books, relevant app subscriptions or an e-reader.
  • Opportunities for paid certifications
  • Opportunities for professional and personal learning through Udemy Business
  • Regular company off-sites and meetups

ATS Keywords

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Hard Skills & Tools
machine learningPythonSQLCI/CDgenerative AIcloud computingGPU computingdistributed computingmachine learning architecturesautomated ML workflows
Soft Skills
communicationpresentationproblem-solvingcollaborationadaptabilitycritical thinkingattention to detailtime managementinterpersonal skillsanalytical skills