Senior Machine Learning Engineer
Required skills
experience in writing clean, maintainable and testable code, proficiency in scripting languages such as Python or Shell, knowledge of distributed systems and scalable architectures, experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML, experience in machine learning engineering and data science, familiarity with key ML concepts, algorithms and frameworks, understanding ML model lifecycles, experience with designing and operating the infrastructure required to run different types of ML training and serving workloads
Responsibilities
contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications, own the development and maintenance of core functionalities within ML applications, drive the functional stream of work by providing technical expertise, handle team discussions and ensure timely delivery of assigned tasks, stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape, facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers, contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives, proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
Technologies
Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
Seniority
Senior
Domain
Machine Learning