Job Posted: Empty Location: Singapore Full time: Remote Who are we looking for 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 measure 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 clean and maintainable code using software engineering best practices and modern platforms.
Participating in the 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 the 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 (Scikit-learn, 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).
Excitement about learning and building the future of data, privacy, and AI technology.
Good to have Experience hosting models to scalable cloud infrastructure (AWS / Azure / GCP).
Experience in containerisation of the data pipelines & AI models in Docker with supporting orchestration tools (e.g., Kubernetes).
Experience in the ML lifecycle (experimentation, reproducibility, deployment, and a central model registry) and its supporting tools (e.g., MLflow).
Benefits Flexible time-off arrangements.
Flexible work schedule - complete autonomy with no unnecessary meetings that take your time away from building.
Flexible work arrangements - desk space at our office in One North Singapore or fully remote.
How to apply Does this role sound like a good fit to you?
Indicate your available start - end dates (DDMMYY - DDMMYY).
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