Machine Learning Engineer at NT Concepts

Vienna, Virginia, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

National Security, SoftwareIndustries

Requirements

Candidates should possess a Bachelor's degree in a relevant field and have at least 4 years of hands-on experience in machine learning engineering, along with the ability to obtain a TS/SCI clearance and be a US citizen. They should be proficient in coding in Python with PyTorch and experienced in implementing and maintaining development environments and supporting ML tools like MLFlow.

Responsibilities

As a Machine Learning Engineer, the individual will implement machine learning applications using existing and emerging technology platforms to deliver business value, contribute to the program’s source code by implementing data science techniques, mentor other engineers, and collaborate with a cross-functional data team comprising AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists to develop machine learning models and pipelines integral to mission success within a computer vision platform.

Skills

Python

PyTorch

Machine Learning

Data Science

MLFlow

DataOps

DevSecOps

MLOps

Problem-solving

Collaboration

NT Concepts

Technology solutions for national security agencies

About NT Concepts

NT Concepts provides technology solutions focused on national security, working primarily with government agencies in defense and intelligence. Their services include data solutions, digital transformation, and mission enterprise solutions, which help clients manage sensitive information and enhance security measures. Unlike many competitors, NT Concepts emphasizes customized solutions tailored to the unique needs of their clients in a highly sensitive sector. The company's goal is to ensure the safety and security of the nation while also engaging in social responsibility initiatives, such as their Million Meals Challenge, which aims to give back to the community.

Vienna, VirginiaHeadquarters

1998Year Founded

$10MTotal Funding

DEBT_GENERALCompany Stage

Data & Analytics, Social Impact, DefenseIndustries

201-500Employees

Benefits

Flexible Work Hours

Remote Work Options

Professional Development Budget

Risks

Increased competition from emerging tech startups in national security.

Rapid technological advancements may outpace NT Concepts' integration capabilities.

Budget cuts in defense and intelligence sectors could reduce spending on technology solutions.

Differentiation

Specializes in data-driven technology for national security applications.

Focuses on customized technology solutions for government agencies.

Operates in a highly sensitive and mission-critical sector.

Upsides

Growing demand for AI-driven cybersecurity solutions in government agencies.

Expansion of cloud-based data analytics in the defense sector.

Rising adoption of machine learning for predictive maintenance in military equipment.

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