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4 дня назад

Artificial Intelligence Machine Learning Engineer 1 (C++/Marian/Java/AWS/PyTorch/Python)

130 000 - 270 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Artificial Intelligence Machine Learning Engineer 1 (C++/Marian/Java/AWS/PyTorch/Python) (AI/ML/NLP): Building, training, fine-tuning, and evaluating advanced language models across the model development lifecycle with an accent on natural language processing, full-stack development, and AWS deployment. Focus on optimizing model performance, implementing versioning and monitoring, and delivering secure machine learning solutions in a government and defense environment.

Location: Annapolis Junction, MD, United States. U.S. citizenship and a current Top Secret/SCI U.S. Government security clearance with a favorable Polygraph are required.

Annual salary: $130,000–$270,000, depending on years of experience.

Company

hirify.global develops software solutions for government and defense missions.

What you will do

  • Build, train, fine-tune, and evaluate advanced language and machine learning models.
  • Develop NLP solutions across the full model development lifecycle.
  • Deploy models using AWS services and monitor their performance.
  • Build full-stack software applications and collaborate with cross-functional teams.
  • Implement model versioning and management practices.

Requirements

  • Must be a U.S. citizen with a current Top Secret/SCI U.S. Government security clearance and favorable Polygraph.
  • At least 2 years of applied machine learning experience on programs or contracts of similar scope, type, and complexity.
  • A B.S. degree in advanced mathematics, computer science, or a related STEM discipline from an accredited college or university; 3 additional years of relevant machine learning experience may substitute for the degree.
  • Strong proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Expertise in model training, evaluation, deployment, optimization, and performance monitoring.
  • Hands-on experience with AWS tools including SageMaker, Lambda, EC2, and S3.
  • Experience developing full-stack software applications using JavaScript, Python, Java, or similar technologies.
  • Strong understanding of data structures, algorithms, and system design, with proven software engineering and coding skills.
  • Extensive machine learning model development experience, including NLP, plus experience with model versioning and management using MLFlow or Git.
  • Familiarity with containerization tools such as Kubernetes.

Nice to have

  • Experience in a government or defense-related environment.
  • Experience with secure data handling and compliance requirements.
  • Experience working with Large Language Models.

Culture & Benefits

  • Direct-hire position; applications from third-party staffing or recruiting firms are not considered.
  • Up to 20% 401(k) contribution, with no matching required and vesting from day one.
  • $3,600 HSA contribution.
  • Six weeks of paid time off.
  • Company-paid medical, dental, vision, life, short-term and long-term disability, and AD&D insurance.
  • Above-market hourly rates are offered.

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