DevOps Engineer (Machine Learning)
Company: Neural Magic
Location: Somerville
Posted on: May 10, 2022
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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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