Location: New York, NY
machine learning problems, architect machine learning solutions, and ensure long-term success of models. Build data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability. Improve the various codebases remit by adding testing, linting, and factoring code.
Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments. Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage, as well as non-functional aspects with load testing, unit testing and integration testing. Requirements:
Master's or its foreign equivalent in Computer Science, Computer Engineering or Information Technology. and 3 years experience as a Machine Learning Engineer, Software Engineer, or in a related Machine Learning Engineering role.
Special Skills: 2 years of industry experience in building production-grade machine learning systems. 2 years experience with Deep Learning Models, Tensorflow, Pandas, Numpy Python, and Spark. 2 years of experience showing ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner. 1 year industry experience in ML Ops. Remote work is permissible for up to 2 days per week. Salary: $200,000 to $300,000 per annum. Email Resume referencing Job# RUS02 to
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