Machine Learning Engineer
7 days ago
The ShopThing team is looking for a talented junior to mid-level Machine Learning Engineer to join our growing team This role is a 6-8 month fixed term contract to cover a maternity leave with the possibility of full- time employment at the end of the term.
The successful candidate will be responsible for maintaining and improving our existing recommendation system and will play a critical part in building the future of live shopping in North AmericaUtilize generative AI to create, enhance, and maintain AI-related projects within a business context
Collaborate closely with the ML and backend teams to design, develop, and deploy machine learning projects
Monitor and maintain recommendation systems and NLP models to ensure their performance, reliability, and continuous improvement
Stay-up-to date with the latest developments in machine learning research to uncover and recommend new opportunities
A bachelor's degree in computer science, software engineering, AI, or a related field
Proficiency in SQL and Python
Strong knowledge of Python libraries including Scikit-Learn, NumPy, SciPy, and Pandas
Solid understanding of machine learning concepts such as clustering, classification, outlier detection, supervised and unsupervised learning
Experience with deep learning frameworks such as TensorFlow, Pytorch and Keras is considered an asset
Proven track record in maintaining and optimizing production-level machine learning models is considered an asset
Experience working with generative AI models in a business context is considered an asset
We're on a mission to transform the way people shop and sell through live video commerce.
Hailed as the next evolution in e-commerce by industry analysts, we're bringing this $430 billion gig economy to North America with the help of top-tier retail brands, influencers and 350,000+ customers.
Launched our Android AppAmassed a social audience of 450,000+ (the largest audience of any live shopping marketplace in the world)
We're looking for an optimist with grit and determination, who is excited to face the challenges of a growing startup.
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