Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying machine learning applications. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to develop robust ML models that meet business needs. Your expertise extends to cloud platforms such as AWS, where you have deployed scalable solutions that ensure high availability and performance.

You possess a deep understanding of machine learning concepts and are skilled in creating ML pipelines, model training, and deployment processes. You are comfortable collaborating with data scientists and engineers, translating complex business requirements into effective ML systems. Your problem-solving skills are complemented by your ability to facilitate team discussions and drive projects to timely completion.

What you'll do

In this role, you will design and develop scalable architectures for deploying and managing machine learning applications. You will be responsible for ensuring the performance, security, and reliability of these systems. Collaborating closely with cross-functional teams, you will translate business needs into technical solutions, driving the development of core functionalities within ML applications.

You will actively explore and implement the latest tools and frameworks in the machine learning landscape, ensuring that ThoughtWorks remains at the forefront of technology. Your role will involve maintaining and enhancing existing ML systems, as well as mentoring junior engineers to foster a culture of continuous learning and improvement.

What we offer

At ThoughtWorks, you will be part of a collaborative and innovative environment where your contributions will have a meaningful impact. We encourage you to apply even if your experience doesn't match every requirement. Join us in pushing boundaries and delivering extraordinary results for our clients.