Brooksource · 1 week ago
Machine Learning Engineer
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Responsibilities
Lead efforts prototyping and deploying production machine learning systems at scale.
Promote and role-model MLOps best practices (development, testing, evaluation, etc.)
Design and create standardized workflows for the deployment of various ML use-cases.
Build large scale pipelines for feature generation, metadata storage, model versioning, etc.
Represent the client on various industry forums such as UAI, EPRI, EEI, etc.
Collaborate and maintain codebases using standard version control and GIT principles.
Clearly communicate progress or challenges to product owners throughout each sprint.
Write well-structured code that implements software engineering best practices.
Be a mentor and advocate for the team.
Qualification
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Required
Bachelor’s degree in a STEM discipline: Statistics, Mathematics, Computer Science, etc.
Minimum of 4 years of experience working as a machine learning Engineer or in a related field.
Experience with SQL and relational or schema-less (NoSQL) databases.
Experience with programming languages: Python, JavaScript, R, MATLAB, etc.
Experience with cloud technologies: Google Cloud Platform, AWS, Azure, or related tools.
Strong evidence of thought leadership abilities, especially within the machine learning space.
Experience designing large scale machine learning systems.
Strong version control experience, especially working within a collaborative team.
Preferred
Master’s/PhD degree in a STEM discipline: Statistics, Mathematics, Computer Science, etc.
Experience working within an electric or natural gas utility.
Company
Brooksource
Brooksource is a single source for project and supplemental support through contract employment, contract-to-hire labor employment.