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AI Developer
3 weeks ago
This is a unique opportunity to work at the intersection of Generative AI and MLOps.
Candidates should have experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
Key Responsibilities:- Collaborate with researchers to bring new models from prototype to production.
- Build and maintain production pipelines for diffusion-based and related generative models.
- Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.
- Generative AI Experience: Experience with deployment and inference optimisation.
- MLOps Expertise: Skilled in building automated workflows for training, deploying, and monitoring ML models at scale.
- Infrastructure & Cloud: Hands-on with AWS, Kubernetes, Docker, and Infrastructure-as-Code.
- Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
- Data Foundations: Ability to design scalable data pipelines and storage solutions.
- Engineering Craft: Strong Python skills and a focus on writing clear, maintainable code.
- Collaboration & Growth: Thrive in cross-functional teams and value open feedback.
- We celebrate diversity and are committed to creating an inclusive environment.
- We understand the importance of work-life balance and offer flexible work arrangements.
- Your development is our priority and we offer continuous learning opportunities.
- We are shaping the future of AI and making a meaningful impact.