Senior Machine Learning Engineer

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.

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• Proactive approach with team members and clients
  
• Continuous improvement of core AI services
  
• Take ownership of the services within your expertise
  
• Contribute to the ongoing innovation R&D projects
  
• Implement and maintain ML Infrastructure
  

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• Degree in relevant field with 3+ years of industry experience
  
• Strong Technical Skills: Python, Production APIs, Infrastructure as Code
  
• AWS or other Cloud provider
  
• Deep understanding of Natural Language Processing / Generative AI
  
• Image Recognition
  
• Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics
  
• Experience with MLOps
  
• Excellent organisation skills, working independently and ability to deliver results for deadlines
  
• A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively
  
• Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences
  
• Experience in ecommerce space
  

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• Competitive Salary
  
• Generous vacation time (25 days of annual leave)
  
• Yearly "Reset Week" in addition to annual leave allowance
  
• Freedom to experiment with your own ideas
  
• Environment to develop your skills without bureaucracy or red tape
  
• Monthly fitness stipend of $210 or fully paid Third Space Membership
  

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.