Who are we looking for

• We are looking for a motivated senior machine learning engineer to work closely with our lean and highly capable engineering team alongside software, and AI/ML engineers to develop a web application for our AI synthetic data generation platform.

The problems you will solve

• Developing state-of-the-art AI generative models for structured data including GANs, autoencoders, language models (e.g. transformers, RNNs), etc.
• Design success metrics that measures the privacy and quality of synthetic data generated
• Translate success metrics into automated feedback loops to automatically improve the quality of synthetic data produced by the AI generative models
• Integrate intelligent hyperparameter tuning into the models
• Containerisation of data pipelines & AI models (Docker) with supporting orchestration tools (e.g. Kubernetes)
• Hosting models to scalable cloud infrastructure (AWS / GCP)
• Developing a clean and maintainable code using software engineering best-practices and modern platforms
• Participating in full product development lifecycle from ideation to live production
• Creating technical documentation

The impact you will have

Being part of a fast-growing and early stage start-up, you will be working together with the CTO and have the opportunity to take ownership of key parts of data & AI pipeline, make important technical decisions, and build a world-class product from the ground up.

About you

• Proficient in:
  • Python
  • AI / ML frameworks (Pytorch, Keras, Tensorflow)
  • Data & ML libraries (Sklearn, numpy, pandas, plotly, matplotlib)
• Experience in coding projects in any form (internships or experience in collaborating on multi-person coding projects in university / freelance / personal projects)
• Ability to learn unfamiliar systems and forming an understanding of them through independent research, and working with a mentor and subject matter experts
• Excitement about learning and building the future of data, privacy, and AI technology
• We do not have rigid requirements for the subject you studied for your degree - an IT-related degree is great but so is any coding project / work experiences and your willingness to learn