Virtual Senior Machine Learning Engineer

7 days ago


Toronto ON, Canada McKenzie Consulting Australia Full time

Senior Machine Learning Engineer

Full-time Hybrid role

Are you a Machine Learning Engineer passionate about creating scalable, cutting-edge ML models and data solutions that make a tangible impact?

Collaborate in a vibrant, diverse, and agile environment that values growth and innovation.

By electrifying fleets, we can mitigate more than 70% of mobility CO2 urban emissions, remove 50% of city air pollution, and help fleet operators meet Net Zero commitments.


Betterfleet/EVenergi is a leading global software and advisory business for zero emissions transport. They specialise in helping owners and operators of complex fleets to plan and execute the transition to zero emissions alternatives, then optimise the operations once transitioned. We also provide strategic insights to governments and commercial entities on charging behaviours and grid integration to enable a smooth transition to electric vehicles.

Their mission is to accelerate the transition to zero-emission transport. To do that, they are creating services and platforms that help our users make the complex simple and make it repeatable at scale, so thousands of businesses can simultaneously make the transition. Following their first close of a US$10 million funding round and a successful further funding round, they continue to grow and innovate in this exciting field.

a validated, strong product market fit and have unique differentiators in their digital twin technology and integrated planning and charge management platform.


- They work alongside local and global leaders in the field, building a true product culture.


- They pride themselves on delivering unparalleled service, driven by innovation and excellence in complex problem-solving. Pioneering industry transformation.

MLOps and Deployment:


Design robust ML pipelines for data processing, model training, validation, and seamless deployment using tools like Docker and Kubernetes. Data Engineering Skills:


Handle large, complex datasets from varied sources, leveraging SQL and data storage solutions to fuel our data-driven innovations. Lead ML research projects, maintain meticulous records, and continuously integrate the latest techniques and best practices in machine learning and electric vehicle tech.



Proficiency with Python, TensorFlow, PyTorch, and Scikit-learn for model selection and tuning.

expertise with version control and containerisation, ensuring efficient deployment and scaling.

Data Engineering - ETL proficiency and hands-on SQL experience with complex datasets.

Security & Privacy in ML - Integration of security best practices, ensuring model integrity and regulatory compliance.

Collaborative Agile Development - Work closely with product managers and engineers to align ML solutions with business needs.



Personal Qualities:


A strong communicator with the ability to simplify complex concepts for technical and non-technical audiences alike.



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