Datatonic is looking for a Senior Machine Learning Engineer to engineer high-quality Python code, lead projects and client discussions, and build trusted relationships to scope and deliver ML solutions. You will apply strong ML fundamentals and consulting skills to solve real business problems using AI and cloud technologies.

What You'll Do

Translate 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.
Optimize 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.

What We're Looking For

Multiple years of experience as a Machine Learning Engineer.
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.

Nice to Have

Consulting background.
Scale-up experience.
Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).

Technical Stack

Python
Google Cloud Platform
AWS
Azure
SQL
Flask

Benefits & Compensation

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 - CAD $70/month for internet/phone expenses.
CAD $1,500 every 3 years for tech accessories and office equipment starting on Day 1.
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.