About LotLinx
LotLinx is a leading automotive SaaS Data company, utilizing AI-powered technology to provide our clients with an end-to-end Vehicle Management and Marketing System. We are experiencing tremendous growth and have an exciting opportunity as a Machine Learning Engineer based out of our Winnipeg office. (Remote work available.) LotLinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and excellent career development opportunities.

Role Details:

Reporting to the Director of Machine Learning & Artificial Intelligence, this role is responsible for the development and deployment of artificial intelligence for campaign management and distribution in the Automotive Digital Advertising industry. LotLinx is looking for a candidate that has interest and talent in applying machine learning to improve, optimize and lead further development of our AI platform.

Required Skills (must haves):

Bachelor of Science in Computer Science, Engineering or other related fields
Understanding of development practices and software delivery with 2+ years of software development experience
Experience with TensorFlow, PyTorch or other machine learning frameworks with 2+ years of machine learning and/or AI experience
Experience in artificial intelligence, machine learning or related fields with strong fundamentals in mathematics
Fluent in Python, Java and/or other languages
Has an interest in building highly available, scaleable and reactive systems and is motivated to produce and ship high quality code

Responsibilities:

Work with a world-class team of AI researchers and engineers
Gain experience with cutting-edge technology and work on our industry leading products
Utilize automotive data from the entire North American market in analysis and model development
Design & development of robust machine learning algorithms
Apply and utilize current emerging techniques, technologies, and tools
Analyze, design, and determine coding, programming, and integration activities based on general objectives and knowledge of overall architecture of product
Develop and combine complex data analysis techniques and methods
Collaborate and communicate with management
Take projects from concept to production as efficiently as possible
Develop strong working relationships at all levels in the company with team members and management