Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$130к-270к/год
$160к$190кмедиана$240к
По похожим ролям (47) ~ $190к/год
На СНГ рынке: $4.1к/мес ($3.6к - $5.9к)
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Хорошая вакансия
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Роль охватывает весь цикл ML-разработки, требования к технологиям понятны, а пакет льгот сильный. При этом обязательный действующий допуск заметно ограничивает круг тех, кому доступна эта вакансия.
Нужен допуск
Современный ML-стек
Сильный пакет льгот
?Широкий круг задач
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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