Senior Data Scientist

• We've deployed large-scale LLMs into production, leveraging models like Google's Gemini family
• We've pioneered AI agents embedded directly into critical business workflows
• We've launched multi-modal search capabilities serving millions of customers
• Our team has designed, trained, and deployed custom deep learning models on massive datasets, alongside advanced Markov models and hierarchical Bayesian systems
• We've implemented generative AI for personalised recommendations, reshaping the customer experience
• Our broader Data team has built robust infrastructure on Google Cloud, managing terabytes of carefully catalogued data
• Our work has earned industry recognition, including the Retailer Awards CX Innovator Finalist and acknowledgement in the AFR
• All employees have access to our internal ChatGPT-like platform with the industry's best conversational AI models

• We're looking for a hands-on data scientist who can design a novel deep learning architecture when the problem calls for it, ship a pragmatic solution when it doesn't, and know the difference. You should be comfortable owning work end-to-end, at ease with ambiguity, and curious enough to have explored beyond your core ML domain -- whether that's system design, networking, security, or how things work under the hood.
• Day-to-day, you'll work autonomously on real problems with real users, making tradeoff decisions and shipping to production.
• GitHub or Code Samples: Please include links to your GitHub repos or substantial code samples that demonstrate production-quality work. Candidates without evidence of strong coding proficiency may not be considered.

• If your primary interest is academic research or theoretical modelling without building real-world software, this isn't the right fit
• If you're uncomfortable writing production-quality code beyond notebooks, you're unlikely to thrive here
• If you're not comfortable communicating fluently in English in a fast-paced, global environment

• Written and verbal fluency is essential. You'll participate in technical and product discussions, present solutions, and collaborate with our Australia-based team and international stakeholders.

• Strong grasp of foundational ML concepts (classification/regression, feature engineering, evaluation metrics, training vs. inference, overfitting, etc.)
• Ability to design and train custom deep learning models -- including comfort with novel or non-standard architectures, not just off-the-shelf fine-tuning. You should be able to judge when a custom approach is warranted.
• Practical experience with deep learning frameworks (PyTorch, TensorFlow, or similar) and classical ML libraries (scikit-learn, etc.)

• Practical experience or informed perspective on building with LLMs -- RAG pipelines, prompt engineering, agent architectures, evaluation of generative outputs
• Understanding of when LLMs are the right tool and when they aren't
• Familiarity with failure modes: hallucination, grounding, cost/quality tradeoffs

• Proficiency in Python with solid OOP fundamentals (classes, methods, inheritance)
• Good coding practices: exception handling, logging, clean structure
• Familiarity with functional programming concepts (basic understanding sufficient)
• Strong working knowledge of Git -- branching, merging, pull requests, and conflict resolution

• Demonstrated ability to develop, debug, and ship code to live production environments
• Solid experience with Docker containers (building, running, debugging common pitfalls)
• Awareness of monitoring, latency, and failure modes beyond model accuracy

• Cloud Deployment: Experience deploying ML services on Google Cloud (Cloud Run, Vertex AI, or Kubernetes)
• CI/CD: Practical experience with GitHub Actions, Cloud Build, or similar
• Infrastructure as Code: Familiarity with Terraform or similar IaC tools
• A/B Testing: Experience designing experiments, interpreting results, and connecting them to product decisions

• The ability to cross train into DevOps/Platforms or Data Engineering
• The unique opportunity to have a serious impact on a growing organisation
• A dynamic working environment shaping the face of fashion e-commerce in growth markets
• Work closely with a global talent pool with international mindset
• #1 IT company to work for in Vietnam in 2021
• Best practice scaled agile engineering
• Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
• Hybrid working environment and work from home set up allowance
• Clear career progression plan and support
• English classes
• Macbook or laptop when you start
• Social insurance, medical insurance & AON insurance
• 13th month salary
• 15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave
• Support for Gym membership

Global Fashion Group