Senior Machine Learning Engineer

OverviewSenior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They contribute to the design of end-to-end applications and products, building core capabilities including technical and functional ML systems, and are accountable for timely delivery. As a senior machine learning engineer, you will work with the latest tools, frameworks and offerings while enabling credible and collaborative problem solving to execute on a strategy. ResponsibilitiesYou 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. QualificationsAn advanced English level is required. You must have strong experience with LLM and AI. You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability. You are proficient in scripting languages such as Python or Shell for automation. 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 Scikit-learn, TensorFlow, MLFlow, Kubeflow, PyTorch. You have experience with ML workflows and CI/CD for ML (MLOps principles). 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 experience designing and operating infrastructure for ML training and serving workloads (on-premise vs cloud, IaC, monitoring, etc.). You have hands-on experience with on-premise and cloud services for ML pipelines (Azure, AWS, GCP or Databricks and related ML managed services). Professional SkillsYou understand stakeholder management and can liaise between clients and key stakeholders to gain buy-in and trust. You are resilient in ambiguous situations and adapt to challenges from multiple perspectives. You are comfortable addressing risks or conflicts and manage them effectively. You are eager to coach, mentor and motivate others and aspire to influence teammates toward accountability. You advocate for technical excellence while remaining open to change. Other things to knowLearning & DevelopmentThoughtworks offers a culture that supports career development with interactive tools, development programs and team support. Your career path is shaped by autonomy and cultivation, empowering employees in their career journeys. Job DetailsCountry: Brasil City: Porto Alegre Date Posted: Industry: Information Technology Employment Type: Regular About ThoughtworksThoughtworks is a dynamic and inclusive community of colleagues who are revolutionizing tech. As a leading technology consultancy, we push boundaries through purposeful work. For 30+ years we have delivered impact by helping clients solve complex business problems with technology as the differentiator. Bring your expertise and commitment to Thoughtworks. Let\'s be extraordinary together. #J-18808-Ljbffr