Назад
Company hidden
2 дня назад

Sr. AI/ML Engineer II

180 000 - 205 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Sr. AI/ML Engineer II (AI/ML/RAG): Designing, deploying, and maintaining production-ready AI/ML models and applications in secure classified AWS environments with an accent on agentic AI, Retrieval-Augmented Generation, and containerized systems. Focus on building data architectures, optimizing and evaluating models, integrating DevSecOps CI/CD pipelines, and communicating technical findings to technical and nontechnical stakeholders.

Location: Hybrid and primarily onsite in the D.C. metro area, including Reston and Tysons Corner, Virginia, with occasional customer-site visits. Candidates must be able to work across designated DC Metro locations and verify eligibility to work in the United States.

Salary: $180,000–$205,000 per year, with potential performance-based bonuses and additional incentives.

Company

hirify.global delivers technology services and builds secure digital and AI/ML solutions for customers.

What you will do

  • Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and implementation strategy.
  • Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments.
  • Apply machine learning techniques to support Retrieval-Augmented Generation and develop agentic AI systems, orchestration workflows, and automated data-processing capabilities.
  • Design and maintain data architectures and services supporting AI/ML solutions, including model optimization, evaluation, and maintenance through Agile user stories and DevSecOps CI/CD pipelines.
  • Provide architectural leadership and technical advisement to ensure system integration and compliance with security requirements, including classified AWS environments at Impact Level 6 or higher.
  • Present technical findings, architectural recommendations, and project progress to technical and nontechnical stakeholders.

Requirements

  • At least 6 years of relevant experience in AI/ML engineering, data science, machine learning, or a related technical discipline.
  • Bachelor’s or Master’s degree in a relevant field, or equivalent professional experience.
  • Active TS/SCI clearance with CI polygraph.
  • Extensive experience with open-source AI/ML models and the ability to evaluate and justify proprietary models when appropriate.
  • Strong hands-on experience designing, building, training, integrating, deploying, and maintaining AI/ML models and production applications.
  • Expert-level proficiency in at least two of Generative AI/LLMs, Natural Language Processing, Retrieval-Augmented Generation, or neural networks.
  • At least 6 years of experience with two or more of Python, R, Anaconda, NumPy, TensorFlow, Keras, Scikit-learn, or PostgreSQL.
  • At least 6 years of experience designing, implementing, and maintaining data architectures and services for AI/ML solutions.
  • Expert-level experience designing, developing, and deploying AI/ML solutions in classified AWS cloud environments at IL6 or higher.
  • Strong analytical skills for assessing program and system performance, identifying manual processes, and developing algorithms or automation solutions.
  • Strong experience designing, developing, deploying, and maintaining containerized AI/ML applications.
  • Ability to work primarily onsite across designated DC Metro locations, including Tysons Corner and Reston, Virginia, with occasional customer-site visits.

Culture & Benefits

  • Full-time benefits include health, dental, and vision insurance.
  • 401(k) retirement plan with company match, paid time off, holidays, parental leave, and dependent care.
  • Flexible work arrangements and professional development opportunities, including company-paid training and certifications.
  • Employee assistance and wellness programs.
  • Potential performance-based, referral, and additional compensation.

Hiring process

  • Applications are accepted on a rolling basis until the position is filled.
  • Employment requires verification of identity and eligibility to work in the United States and completion of the required employment eligibility verification form.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →