Sr. Machine Learning Engineer

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Sr. Machine Learning Engineer Job Opportunity at TRADER Corporation

TRADER Corporation is a trusted leader in online media, dealer services, and lender services in Canada. Our company encompasses AutoTrader.ca, AutoSync, and Dealertrack Canada. AutoTrader.ca (known as AutoHebdo.net in Quebec) boasts the largest inventory of new and used cars in Canada, attracting over 25 million monthly visits to its marketplace. With more than 3,500 subscribers, AutoSync is the fastest-growing dealer and OEM software provider in Canada, offering a comprehensive suite of connected automotive software solutions including vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage, and TRFFK. Dealertrack is the country’s largest automotive financing portal, enhancing efficiency and profitability across all major segments within automotive retail industries. Discover more at

Position: Sr. Machine Learning Engineer

We are seeking a talented Senior Machine Learning Engineer to advance our AI-driven products at TRADER Corporation. This role involves collaborating with both technical teams and business stakeholders to sift through large datasets, identifying opportunities that augment our product offerings and deliver tremendous value to our customers. The ideal candidate will have a track record of leveraging machine learning to achieve significant business outcomes and the ability to convey complex findings to a business audience. An enthusiasm for continuous learning in AI is essential.

What You’ll Do

  • Design and implement sophisticated machine learning models to enhance customer experiences across TRADER's products and services.
  • Monitor and maintain deployed Machine Learning models, ensuring their performance, accuracy, and reliability are optimal.
  • Collaborate with the Product team to develop and test innovative 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.
  • Improve data processing methodologies to enhance data quality for machine learning applications.
  • Oversee a robust data processing architecture capable of preparing diverse data types for complex analytical modeling.
  • Work closely with Support Teams to swiftly identify and resolve customer-reported issues.

Requirements

  • Strong background in Azure or similar cloud platforms, focusing on machine learning model deployment and management.
  • 5-10+ years of relevant professional experience.
  • A scientific mindset characterized by curiosity and commitment to data-driven insights.
  • Excellent teamwork and interpersonal skills.
  • A university degree in a STEM discipline.
  • Expert-level skills in Python and SQL.
  • Extensive experience in developing, training, and maintaining ML models.
  • Familiarity with a broad range of analytical tools and machine learning techniques.
  • Strong track record in data preparation, cleaning, and wrangling to support machine learning efforts.
  • Expertise in handling both structured and unstructured data from diverse sources.
  • Passion for exploring and developing Generative AI applications.
  • Initiative and the capacity to function autonomously within cross-functional teams.
  • Ability to collaborate effectively to meet organizational goals.

Bonus Points

  • Experience in the fintech industry is advantageous.
  • Extensive experience managing machine learning projects from inception to deployment and post-deployment monitoring.

Benefits

At TRADER Corporation, we recognize the importance of balancing work and personal life. Here are some benefits that support our team's well-being:

  • Discounts to nationwide gyms and access to onsite gyms.
  • Employee and Family Assistance Program.
  • Weekly virtual wellness events.
  • Annual lifestyle allowance of $1500 for skill development.
  • Conferences and training budget.
  • Regular internal training programs.

Financial Planning

  • 3% matching towards your pension.
  • Multiple forms of income protection.

Compensation

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