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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$180к-205к/год
$170к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4.4к/мес ($3.6к - $6к)
75
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Здесь есть серьезные задачи по внедрению AI/ML и понятная роль технического лида, но зарплата ниже медианы рынка, а действующий допуск и работа преимущественно в офисе заметно сужают круг тех, кому подойдет эта возможность.
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Ниже медианыНужен допускРабота на местеСовременный стекПонятная рольФокус на AI
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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