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AI Innovator
3 weeks ago
The Role:
- Collaborate at the intersection of Generative AI and MLOps.
- Partner with researchers and engineers to design pipelines, GPU infrastructure, and automation that transform cutting-edge research into production-ready features.
- Enable teams across the organization to deliver AI-powered features faster, more reliably, and at scale.
Required Expertise:
- Generative AI Experience: Deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
- MLOps Expertise: Building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
- Infrastructure & Cloud: Hands-on with cloud platforms (AWS), containerization (Docker), and Infrastructure-as-Code (Terraform).
- Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
- Data Foundations: Designing scalable data pipelines and storage solutions (SQL/NoSQL).
- Engineering Craft: Strong programming skills and a focus on writing clear, maintainable, and collaborative code.
- Collaboration & Growth: Thriving in cross-functional teams, valuing open feedback, and enjoying supporting others' success while learning continuously.
Benefits:
- Flexible Work Environment: Understanding the importance of work-life balance and offering remote work options.
- Empowering Growth: Prioritising employee development and offering continuous learning opportunities and career growth tailored to individual goals.
- Impactful Work: Joining a team shaping the future of AI and working on innovative projects that have a meaningful impact.