Original listing text, shown exactly as published by the company.
The Role
As a foundational member of the AI team, you’ll shape the technical vision and build systems that directly impact our customers' success. This is a unique opportunity to:
- Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs.
- Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.
- Optimise AI systems for scalability, safety, and reliability on AWS infrastructure.
- Work in a dynamic, zero-to-one environment, bringing ideas from concept to production.
What You’ll Do
- Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges.
- Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock.
- End-to-End Ownership: Lead projects from ideation to production, implementing MLOps guidelines for robust and efficient solutions.
- Collaborate and Innovate: Work with product managers, engineers, and collaborators to align technical solutions with customer and business goals.
What You’ll Bring
- Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama).
- Cloud-Native Experience: Solid understanding of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures.
- MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes).
- Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications.
- Innovation: Excels in uncertain settings, showcasing ingenuity and perseverance to construct influential systems from scratch.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.
