8 дней назад
AI DevOps Engineer
115 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI DevOps Engineer (AI/ML, AWS): Building and supporting AI/ML-enabled applications, infrastructure, continuous integration pipelines, and reusable automation for a federal healthcare research environment with an accent on generative AI, large language models, cloud deployment, and system reliability. Focus on integrating and monitoring AI capabilities, solving infrastructure and application performance issues, and implementing secure, scalable DevOps practices.
Location: On-site in Rockville, Maryland; travel may be required across the United States.
Salary: $115,000–$160,000 per year
Company
delivers cybersecurity, software development, IT infrastructure, supply chain management, system design, and continuous improvement services to the federal government.
What you will do
- Build and support continuous integration pipelines, cloud build and release processes, and reusable automation code.
- Develop and integrate AI/ML capabilities, including application features and infrastructure, in collaboration with software architects, developers, and DBAs.
- Install, configure, upgrade, troubleshoot, and maintain servers, networks, operating systems, application servers, databases, and local services.
- Monitor, debug, troubleshoot, and optimize application and infrastructure performance.
- Collaborate with stakeholders on requirements, participate in Agile Scrum ceremonies, conduct code reviews, and document technical specifications and processes.
- Implement security and data protection measures and provide technical mentoring and cross-training.
Requirements
- Bachelor’s degree in IT, Computer Science, or a related field.
- 10 years of relevant experience, including software development, databases, web technologies, operating systems, scripting, version control, application servers, and support operations.
- Experience with artificial intelligence and machine learning engineering, generative AI, large language models, AI solution architecture, and AI/ML prototyping, testing, evaluation, performance assessment, and monitoring.
- Experience deploying AI/ML capabilities within approved cloud, application, and infrastructure environments, with knowledge of responsible AI, information security, privacy, documentation, and technical risk management.
- Strong experience with AWS services, AWS or Azure DevOps, Linux/Unix tools, Windows Server, Python, Bash, PowerShell, Ruby, Perl, Shell, Git, TFS, CVS, and SVN.
- Ability to obtain Public Trust clearance required.
Nice to have
- Additional experience applying artificial intelligence and machine learning.
- Knowledge of database systems and cloud platforms.
- Familiarity with Agile and Scrum methodologies.
- Strong problem-solving, communication, teamwork, and independent work skills.
Culture & Benefits
- Federal holidays and paid time off accrued each pay period.
- Parental leave and continuing education assistance.
- Medical, dental, and vision insurance with employer contributions.
- Company-paid short-term and long-term disability, life, and AD&D insurance.
- 401(k) plan with competitive matching and vesting schedule.
- Flexible spending accounts, employee assistance, wellness, legal, pet, and 529 college savings benefits.
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