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AI Engineering Lead
3 weeks ago
We are seeking an experienced Senior Machine Learning Engineer to join our Platform Tribe.
In this role, you will work at the intersection of Generative AI and MLOps, partnering with researchers and engineers to design pipelines, GPU infrastructure, and automation that transform cutting-edge research into production-ready features.
Key Responsibilities:- Collaborate with researchers to bring new models from prototype to production and ensure they deliver meaningful value.
- Build and maintain production pipelines for diffusion-based and related generative models (e.g. LoRA, ControlNet).
- Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.
- Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
- MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
- Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
- Inclusive Environment: We celebrate diversity and are committed to creating a culture where everyone feels valued and empowered.
- Flexible Work Arrangements: We understand the importance of work-life balance and offer remote work options.
- Personal Growth Opportunities: Your development is our priority, and we offer continuous learning opportunities and career growth tailored to your goals.
