10 часов назад
Technical Lead ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Lead ML Engineer (AI): Leading the design, development, and deployment of secure, scalable AI/ML solutions for mission-critical enterprise initiatives with an accent on deep learning, generative AI, cloud architectures, and MLOps. Focus on transforming research prototypes into production systems, building AI/ML pipelines, integrating enterprise platforms, and guiding technical teams.
Location: Remote
Company
delivers digital services and technology solutions supporting the health and safety missions of veterans, service members, civilians, and federal agencies.
What you will do
- Lead the design, development, testing, deployment, and productization of AI/ML solutions for mission-critical enterprise initiatives.
- Serve as the primary technical contact for customers and stakeholders, defining AI/ML strategies and technical roadmaps.
- Design and optimize scalable machine learning and deep learning models for structured and unstructured data.
- Transform research prototypes into secure, scalable, production-ready enterprise solutions.
- Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities across cloud-native and distributed environments.
- Build, mentor, and guide AI/ML engineering teams while supporting staffing, hiring, and professional development.
Requirements
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems.
- Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures.
- Experience working in Agile or DevSecOps environments.
- Excellent communication and stakeholder engagement skills.
- Ability to collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders.
Nice to have
- Experience supporting Intelligence Community, Department of Veterans Affairs, Department of Defense, or other federal government programs.
- Experience with large language models, generative AI, RAG architectures, and vector databases.
- Familiarity with AI governance, explainable AI, and responsible AI practices.
- Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms.
- Active or current TS/SCI security clearance.
Culture & Benefits
- Benefits package supporting physical, mental, and financial health and wellness.
- Growth-minded and entrepreneurial work environment.
- Opportunities to learn new skills, take on new challenges, and advance professionally.
- Inclusive culture focused on opportunity and shared team success.
- Strong support for military veterans, transitioning service members, and military spouses.
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