10 часов назад
AI/ML Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (AI/ML): Developing discriminative and generative models, web interfaces, and model-access services for Department of Defense analytics with an accent on model optimization, data utilization, and LLM enablement. Focus on implementing machine learning algorithms, integrating model metadata through web applications, and solving complex technical tasks in an agile engineering environment.
Location: Beavercreek, Ohio, United States; hybrid workplace
Company
provides advanced software solutions and professional services supporting government missions and business operations.
What you will do
- Develop discriminative and generative AI/ML models for Department of Defense analytic missions.
- Design, implement, optimize, and support AI/ML models and related services.
- Collaborate with product owners, subject-matter experts, and cross-functional teams to align technical solutions with objectives.
- Develop web interfaces for exchanging AI/ML information and model-provider metadata.
- Build automated processes that enable workforce access to large language models.
- Contribute to agile team workflows, tools, documentation, and technical problem-solving.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field.
- 7+ years of AI/ML engineering experience.
- Experience with AI/ML-based systems, model evaluation, and data-driven analysis.
- Knowledge of linear regression, decision trees, random forests, neural networks, and Dijkstra’s algorithm.
- Ability to analyze complex problems, adapt to changing requirements, and learn new technologies quickly.
- Strong verbal and written communication, attention to detail, and customer-facing skills.
Nice to have
- Experience with Java, Python, C++, or SQL.
- Experience with AWS, Azure, or Git.
- Ability to obtain and maintain a Top Secret security clearance with SCI eligibility.
Culture & Benefits
- Work in a highly technical agile environment focused on mission outcomes.
- Collaborate closely with customers to understand mission and business goals.
- Operate in a culture emphasizing fairness, respect, adaptability, accountability, and employee contributions.
- Participate in an environment that encourages engagement, experimentation, and learning from mistakes.
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