Machine Learning Engineer @ Empower AI | Jobright.ai
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Empower AI · 1 week ago

Machine Learning Engineer

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Responsibilities

Design, build, and integrate high-quality solutions using machine learning techniques
Work with a variety of different types, sources, and volumes of data by scraping, cleaning, extracting, and providing assessment to guide a viable machine learning solution
Adapt open-source projects, implement research papers, and develop novel solutions to solve diverse business problems
Being able to adapt and deal with various constraints such as varied data quality, security constraints, hardware limitations, and other resource limitations
Staying current with state-of-the-art techniques in machine learning from newly published research papers
Effectively communicate realistic goals and status to varied stakeholders including internal and external customers
Work with cross-functional teams to integrate ML solutions within existing or in-progress applications
Lead or participate in project development during all steps of the Software Development Lifecycle, including client requirement definition, architecture design, production deployment, and maintenance activities
Provide support for pilot projects and proof of concepts with accelerated timelines while working closely with solutions architects and professional services teams
Work in a remote environment autonomously with minimal oversight

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningSoftware DevelopmentData ModelingPythonPyTorchTensorflowVersion ControlSecurity ClearanceStructured DataUnstructured DataProblem-SolvingTeamworkAutonomous WorkNLP techniquesComputer visionDeep neural networksDistributed trainingSemi-supervised techniquesReinforcement learningDeployment experienceAPIs developmentDatabase managementDataset curationModel monitoringSynthetic data generation

Required

Technical experience in Machine Learning Engineering/Data Science or Software Development with recent coursework in ML/DS
Experience building and deploying Machine Learning Models trained on real data ideally deployed in a production environment
Experience with structured and unstructured datasets
Strong individual contributor who can operate autonomously within all stages of development lifecycle on cross functional teams or as a sole contributor
Comfortable working in at least one Python ML framework ideally both PyTorch and Tensorflow
Comfortable using version control
Secret or ability to obtain a Secret clearance
BS in Computer Science, Engineering, or related technical field
10-15 years experience

Preferred

Deep knowledge of modern NLP techniques, frameworks, and architectures like transformers
Experience with computer vision machine learning techniques
Understanding of or experience in implementing deep neural networks
Experience with distributed training
Familiar with semi-supervised techniques
Experience with reinforcement learning techniques
Varied deployment experience
Experience developing APIs
Comfortable working with databases
Experience gathering and curating datasets
Experience monitoring models in production
Strong software development skillset
Experience generating synthetic data

Benefits

Military Friendly Employer by Viqtory
Equal opportunity employer

Company

Empower AI

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Empower AI (formerly NCI) helps federal agency leaders elevate their workforce productivity.

Funding

Current Stage
Late Stage
Total Funding
unknown
2017-08-15Acquired· by H.I.G. Capital

Leadership Team

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Jeff Bohling
Chief Executive Officer
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Paul Harrington
Executive Vice President, Chief Growth Officer
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Company data provided by crunchbase
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