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DigitalGenius is seeking a Machine Learning Engineer to join their AI team, responsible for enhancing AI solutions in ecommerce. Ideal candidates will possess a strong technical background in ML, programming expertise, and the ability to work independently while contributing to innovative projects.
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DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We're a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence.
Role
The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives.
As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce.
The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure.
Responsibilities
Requirements
Benefits
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.