Design, develop, and productionise optimisation algorithms and decision-support tools across various industries. Collaborate with clients and cross-functional teams to translate operational challenges into scalable software components.
Design, develop, and productionise optimisation algorithms and decision-support tools across various industries. Collaborate with cross-functional teams to translate operational challenges into scalable software components and measurable value.
Architect and build production data pipelines and multi-model data stores to serve AI workflows and client-facing applications. Lead the technical direction for data services, ensuring scalability, reliability, and observability under live traffic.
Lead the development of high-performance distributed data processing services using Rust. Design and implement robust code and optimization algorithms to solve complex business problems within an AI-centric product environment.
Design and maintain large-scale data pipelines and polyglot data infrastructure to support AI and BI systems. Build and operate services, APIs, and dbt models to turn multimodal datasets into reliable production products.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
Design and deliver production-grade multi-agent systems and AI services for enterprise-scale clients. Implement robust RAG pipelines, agent memory management, and AgenticOps practices to ensure reliable and ethical AI operations.
