Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products.
Requirements
- Contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
- Collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
- Own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- Drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
- Stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
- Facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
- Contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
- Proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
Benefits
- Learning & Development
- Equal opportunity employer
- Flexible working hours
- Hybrid working model
- Autonomous teams