Machine Learning Engineer

at  autoTRADERca

TRADER Corporation is a trusted Canadian leader in online media, dealer and lender services. The company is comprised of AutoTrader.ca, AutoSync and Dealertrack Canada. AutoTrader.ca (AutoHebdo.net in Quebec) offers the largest inventory of new cars and used cars in Canada, receiving over 25 million monthly visits to its marketplace. With over 3,500 subscribers and counting, AutoSync is the largest and fastest growing dealer and OEM software provider in Canada. The platform’s suite of connected automotive software solutions brings advertising, conversion and operational support together, synchronizing the entire retail process. AutoSync’s diverse range of offerings includes: vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage and TRFFK. Dealertrack is Canada’s largest automotive financing portal, enhancing efficiency and profitability for all major segments of the automotive, marine, recreational vehicle, motorcycle and powersport retail industries. Over 6.5 million credit applications are submitted via the Dealertrack Canada portal each year. Visit tradercorporation.com to learn more..
We are actively seeking a talented Machine Learning Engineer to play a pivotal role in advancing our AI-driven products at Trader. The ideal candidate will possess a knack for sifting through large datasets to identify opportunities that enhance our product offerings and deliver exceptional value to our customers. This role demands effective communication skills to collaborate seamlessly with both technical team members and business stakeholders. The successful candidate will have a track record of leveraging machine learning to drive significant business outcomes and the ability to articulate complex findings to a business audience. An enthusiasm for continuous learning and growth in the field of AI is essential.

What you’ll do:

• Design and implement sophisticated machine learning models to elevate customer experiences across Trader’s suite of products and services.
• Conduct rigorous monitoring and maintenance of deployed Machine Learning models, ensuring their continued performance, accuracy, and reliability.
• Collaborate with the Product team to develop and test novel ideas, models, and approaches, utilizing extensive datasets to optimize business performance.
• Select and manage cloud resources effectively to automate and scale machine learning pipelines, ensuring efficient model training and deployment.
• Establish and refine data processing methodologies to enhance data quality, making it more accessible and insightful for machine learning applications.
• Oversee a robust data processing architecture capable of preparing a wide variety of data types for complex analytical modeling.
• Work closely with Support Teams to identify and rectify customer-reported issues swiftly.

What you’ll need:

• Strong background in Azure or comparable cloud platforms, with a focus on machine learning model deployment and management.
• 4-8+ years of relevant professional experience.
• A scientific mindset characterized by curiosity and a commitment to uncovering data-driven insights.
• Excellent teamwork and interpersonal abilities.
• A university degree in a STEM discipline.
• Expert-level skills in Python and SQL for handling production-grade code.
• Extensive experience in developing, training, and maintaining ML models.
• Familiarity with a broad range of analytical tools and machine learning techniques.
• Solid track record in data preparation, cleaning, and wrangling to support machine learning efforts.
• Expertise in working with both structured and unstructured data from diverse sources.
• Passion about exploring and developing Gen AI applications.
• Initiative and the capacity to function autonomously within cross-functional teams.
• The ability to collaborate effectively to meet the organization’s goals.

• Design and implement sophisticated machine learning models to elevate customer experiences across Trader’s suite of products and services.
• Conduct rigorous monitoring and maintenance of deployed Machine Learning models, ensuring their continued performance, accuracy, and reliability.
• Collaborate with the Product team to develop and test novel ideas, models, and approaches, utilizing extensive datasets to optimize business performance.
• Select and manage cloud resources effectively to automate and scale machine learning pipelines, ensuring efficient model training and deployment.
• Establish and refine data processing methodologies to enhance data quality, making it more accessible and insightful for machine learning applications.
• Oversee a robust data processing architecture capable of preparing a wide variety of data types for complex analytical modeling.
• Work closely with Support Teams to identify and rectify customer-reported issues swiftly