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DevOps Engineer (Machine Learning)

Company: Neural Magic
Location: Somerville
Posted on: May 10, 2022

Job Description:

Neural Magic is an early-stage AI software company pioneering a new way for organizations to run deep learning applications without specialized hardware accelerators. Based on decades of parallel computing research at MIT, Neural Magic has developed a software platform for deep learning inference that allows developers to sparsify and quantize deep learning models to minimize footprint and run on CPUs at GPU speeds. Please look through our website and GitHub repos to get a feel of what we are about. Founded by an award-winning team of computer scientists out of MIT, Neural Magic is a venture-backed company headquartered in Davis Square, Somerville, MA. Neural Magic investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning, this is the role for you. We are looking for an MLOps engineer to work closely with our Product and Machine Learning teams to develop training, deployment, and server infrastructures and pipelines in support of our main products. As an MLOps engineer, you should be comfortable around infrastructure and operations related to ML pipelines and lifecycles for both public cloud and on-prem. Additionally, you will be part of a cross-functional, Agile team that is responsible for the full ML development cycle. If you're a self-starting engineer who's involved in the machine learning field we'd like to meet you Responsibilities Develop end-to-end pipelines based on an in-depth understanding of cloud platforms, AI lifecycle, and business problems Work with machine learning and development teams to design and improve training pipelines Implement and manage deployment and benchmarking pipelines for deep learning models Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade DevOps pipelines Create security and data protection settings Write technical documentation Work with data scientists and analysts to improve implementations Requirements Minimum 1 year of experience as an MLOps engineer or similar role working alongside Data Scientists or ML engineers Experience working in cloud platforms and APIs (AWS, GCP, etc) Experience working with containerized solutions through Docker and Kubernetes Experience implementing CI/CD or DevOps solutions Experience with infrastructure as code technologies (e.g. Terraform) Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind Degree in Computer Science, Statistics or relevant field Neural Magic is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Keywords: Neural Magic, Somerville , DevOps Engineer (Machine Learning), Engineering , Somerville, Massachusetts

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