Consultant Machine Learning Engineer at Thoughtworksreferral

Machine Learning Engineers at Thoughtworks develop, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in developing core capabilities, including technical and functional machine learning systems and applications, supporting functional streams of work and are accountable for timely delivery. As a consultant machine learning engineer you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities • You will contribute in developing 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 contribute to the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation • You will contribute towards the functional stream of work by providing technical knowledge 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 and communicating effectively • You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements Job qualifications Technical Skills • You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code • You are proficient in scripting languages such as Python or Shell for automation and task streamlining • You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications • You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch • You have experience with building, deploying and maintaining ML systems and knowledge of application of MLOps principles and CI/CD to ML • You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles • You have knowledge of designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. • 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 Professional Skills • You thrive in a collaborative, non-hierarchical environment that values transparency, openness, feedback and change • You have a passion for learning and sharing knowledge as well as a desire to create the right solutions for business problems • You are resilient in ambiguous situations and can approach challenges from multiple perspectives Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means 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. Travel While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs. Company Policies We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. About Thoughtworks Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary. #LI-Remote See here our AI policy.