Senior Machine Learning Engineer - Remote

Overview

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. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.

In Short

• You will 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
• You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
• You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
• You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
• You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
• You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
• You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
• You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements

Requirements

• Advanced English level is required
• You have experience building and evolving Machine Learning (ML) systems, with a strong focus on operationalizing ML models in production environments.
• You have experience improving and implementing CD4ML (Continuous Delivery for Machine Learning) processes to ensure reliable and scalable ML deployment.
• You have experience that blends software engineering, infrastructure, and machine learning best practices.
• You have knowledge of ML/DL frameworks, infrastructure automation tools, and continuous delivery pipelines.
• You have experience applying techniques for explaining and interpreting ML models to ensure transparency and trust.
• You have deep expertise in the AWS environment and its ML and data tools.
• You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services

Benefits

• There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you.
• Your career is supported by interactive tools, numerous development programs and teammates who want to help you grow.
• We see value in helping each other be our best and that extends to empowering our employees in their career journeys.