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 ML applications. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to develop robust machine learning models. Your expertise extends to cloud platforms such as AWS, where you have implemented scalable solutions for machine learning workloads. You are familiar with containerization technologies like Docker, which you use to streamline deployment processes. You possess strong problem-solving skills and can translate complex business requirements into effective ML solutions. You thrive in collaborative environments, working closely with data scientists and engineers to drive project success.

Desirable

Experience with MLflow for managing the ML lifecycle is a plus, as is familiarity with CI/CD practices for machine learning. You are always eager to learn about the latest tools and frameworks in the ML landscape, ensuring that your skills remain cutting-edge.

What you'll do

In this role, you will contribute to the design and development of scalable architectures for machine learning applications, ensuring high availability and performance. You will collaborate with cross-functional teams to translate business needs into effective ML systems, owning the development and maintenance of core functionalities within ML applications. This includes building ML pipelines, overseeing model training and deployment, and implementing monitoring and evaluation processes. You will drive the functional stream of work by providing technical expertise and facilitating team discussions to ensure timely delivery of tasks. Your role will also involve exploring and implementing the latest tools and frameworks in the ML landscape, pushing the boundaries of what is possible in machine learning.

What we offer

At ThoughtWorks, we value continuous learning and encourage you to bring your expertise to our collaborative environment. You will have the opportunity to work on impactful projects that solve complex business problems using technology. We offer a flexible work environment, allowing you to balance your professional and personal life while contributing to meaningful work. Join us in pushing the boundaries of technology and making a difference in the world.