This is an opportunity to lead engineering with a focus on complex technical challenges, where you will be responsible for the engineering roadmap across all products. The role involves driving architectural decisions for distributed data processing, machine learning pipelines, and web systems that manage extensive datasets for enterprise clients. The client is recognized for working on cutting-edge generative AI data projects and operates at the intersection of large-scale distributed systems, machine learning, and evolving search technologies.
The primary responsibilities include owning and executing the engineering roadmap, ensuring systems scalability to handle vast datasets and dynamic machine learning workloads. The role also involves championing best practices in testing, observability, incident response, and documentation, as well as setting standards for AI-assisted development practices on a large scale. Candidates should have experience leading multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps, and demonstrate an understanding of the entire machine learning lifecycle, from model deployment to maintenance.
Ideal candidates will be familiar with machine learning lifecycle aspects, including feature stores and pipeline orchestration, with experience at the forefront of generative AI tools. The position offers a competitive salary commensurate with experience, alongside additional benefits. The role's location and any specific travel requirements were not specified. Interested candidates are encouraged to apply by submitting their CV through the indicated application process.