Senior Machine Learning Engineer

6 days ago

Toronto ON, Canada McKenzie Consulting Australia Full time

Senior Machine Learning Engineer

Location:
Toronto, Canada

Full-time Hybrid role

CD$130,000 to 165,000 plus benefits and bonus

Unlock Innovation in Electric Vehicle Technology

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

Lead the charge in transforming electric vehicle operations with innovative ML solutions.

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

Take on exciting challenges that will stretch your skills and empower your professional growth.

Transportation creates 23% of all greenhouse gas emissions each year. Electrifying transportation is priority #1 to impact climate change. 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.

About our Client

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.

See:

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. They are proud of their start-up culture, where their core values of transparency, eco-activity, and empathy are lived every day.

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.

They have:

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

- expanded into the USA, Canada, the UK, and Australia. They work alongside local and global leaders in the field, building a true product culture.

- clear competitive advantages and moats validated globally by some of the largest operators and transit agencies.

They pride themselves on delivering unparalleled service, driven by innovation and excellence in complex problem-solving. Their Team consists of industry experts, analytical thinkers, and problem-solvers. Your expertise and forward thinking could be the missing piece to their puzzle

Their Culture

Eco Active:
Passionately improving the environment.

Clear & transparent:
Honest communication internally and externally.

Transformative:
Pioneering industry transformation.

Empathetic:
Understanding and valuing our customers and team.

Key Responsibilities of the Role:

ML Model & Algorithm Development:

Develop sophisticated ML models and algorithms, focusing on electric vehicle challenges such as range estimation and predictive maintenance. Expertise in supervised and unsupervised learning, deep learning, and reinforcement learning is essential.

MLOps and Deployment:

Design robust ML pipelines for data processing, model training, validation, and seamless deployment using tools like Docker and Kubernetes. Drive efficiency with CI/CD and deploy models as microservices for optimal reliability.

Data Engineering Skills:

Handle large, complex datasets from varied sources, leveraging SQL and data storage solutions to fuel our data-driven innovations. Understanding of ETL processes and event-driven frameworks is vital.

Problem-Solving & Innovation:

Break down complex challenges into actionable solutions, showcasing strong analytical and critical thinking skills.

Structured R&D and Experimental Design:

Lead ML research projects, maintain meticulous records, and continuously integrate the latest techniques and best practices in machine learning and electric vehicle tech.

Required Skills, Knowledge, and Core Competencies:

ML Model Development :
Proficiency with Python, TensorFlow, PyTorch, and Scikit-learn for model selection and tuning.

MLOps and CI/CD:
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:

Initiative, critical thinking, empathy, and a commitment to continuous learning.

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

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