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Remote Nvidia Deep Learning Jobs in Virginia (NOW HIRING)

Marathon TS

Voice Biometrics Engineer

Alexandria, VA · Remote

The position is REMOTE Education: Bachelors Degree 5-7 years Biometrics experience Role Description ... learning algorithms, deep learning models, and AI techniques • Strong ability to analyze data ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Proficiency in Python and familiarity with machine learning and deep learning libraries such as ...

Arcfield

Lead Edge AI/ML Engineer

Richmond, VA · On-site +1

$101.40K - $133.60K/yr

Lead Edge AI / Machine Learning Engineer Strategic Technology Consulting (STC), an Arcfield Company ... The ideal candidate will bring deep experience moving AI/ML beyond prototype environments and into ...

Telus Digital

$185K - $224K/yr

Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote ... Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies, you'll ...

Zayo Group

Head of AI - Platform AI

Ashburn, VA · Remote

$215K - $245K/yr

This role focuses on implementing cutting-edge machine learning, deep learning, and automation ... This remote work role will consider applicants that currently reside in the continental United ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site +1

... deep learning. Experience with at least two of the following: remote sensing of surface and ground water resources, analysis of satellite gravimetry (GRACE) data, analysis of radar and optical remote ...

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What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

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Voice Biometrics Engineer

Voice Biometrics Engineer

Marathon TS

Alexandria, VA • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

This position is for the Veterans Administration. The position is REMOTE
Education: Bachelors Degree
5-7 years Biometrics experience
Role Description:
We are seeking a skilled Voice Biometrics Engineer to join our team. This role involves designing, implementing, and maintaining voice biometric solutions for secure customer authentication. The ideal candidate will have a strong understanding of voice biometrics technology, experience with biometric systems, and excellent problem-solving skills. Responsibilities include enrolling customers, managing voiceprint databases, and verifying user identities using voice biometrics.
Key Responsibilities:
• Collecting voice samples from users to create and store their unique voiceprint or voice profile
• Design, build, and maintain systems that analyze and verify identities based on voiceprints
• Maintaining and updating voiceprints in a database for future authentication
• nalyze voice data, identify patterns, and develop strategies to improve system accuracy and performance
• Using voice biometrics technology to verify a user's identity, comparing their voice to a stored profile
• Create and refine algorithms for voice biometrics, including techniques for voice matching, speaker verification, and anti-spoofing
• Integrate voice biometrics systems into existing infrastructure, such as call centers, banking systems, or security systems
• Conduct thorough testing and validation of voice biometrics systems to ensure accuracy and reliability
• Managing and maintaining biometric systems, including software and hardware
• Diagnosing and resolving issues related to voice biometrics systems
• Maintain detailed documentation of voice biometrics systems, including algorithm descriptions, system architecture, and performance data
• Working with various departments and external vendors to implement and support voice biometrics solutions
Required Qualifications:
• Bachelor's Degree in Computer Science, Engineering, Math, or equivalent (degree requirement may be substituted with 7 years of additional relevant experience)
• Deep understanding of voice biometrics principles, technologies, and applications.
• Proficiency in programming languages such as Python, Java, or C++
• Familiarity with machine learning algorithms, deep learning models, and AI techniques
• Strong ability to analyze data, interpret results, and draw conclusions
• Knowledge of audio signal processing techniques, including feature extraction and voice analysis
• Understanding of different biometric authentication methods and their limitations
• bility to identify and solve complex problems related to voice biometrics
Skills:
Biometrics - 5-7 yeras
Customer Problem Solving - 5-7 years

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About Marathon TS

Sourced by ZipRecruiter

Marathon TS provides a full range of professional services for clients that require support from professionals with specialized skills and experience in a specific technical area or subject matter. Marathon TS also provides IT solutions, including strategy, operations, transformation and mission support.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Sterling, VA, US

Year founded

2009

Social media

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