Requirements:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
8 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialisation in another ML field.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
8 years of experience in a technical leadership role leading project teams and setting technical direction.

Partner directly with customers to understand their business issues while designing, co-developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value.
Systematise insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation-wide use.
Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.