Serve as a senior AI/ML implementation engineer responsible for transitioning advanced research into operational mission capabilities
Develop secure, scalable, and containerized AI-enabled software applications and services
Operationalize physics-informed world models, machine learning inference services, RF simulation outputs, data services, and mission-facing analytics
Lead AI/ML model integration into operational software environments
Design and implement REST APIs, backend services, and containerized microservices
Support MLOps, DevSecOps, CI/CD, orchestration, and cloud-native deployment activities
Work across research, engineering, integration, testing, and deployment throughout the ASP-B lifecycle
Collaborate with Data Scientists, RF and data engineering personnel, Analysts, and Government stakeholders to deliver reliable operational capabilities
Develop AI-enabled software applications and services
Integrate AI/ML models into operational software
Operationalize physics-informed world models and machine learning inference services
Integrate RF simulation outputs, data services, and mission-facing analytics
Design and implement REST APIs and backend services
Develop containerized microservices using Docker and Kubernetes
Implement and support orchestration, MLOps, CI/CD, and DevSecOps pipelines
Integrate software with cloud-native and classified environments
Perform software integration, testing, verification, validation, deployment, and sustainment activities
Support cloud operations and operational deployment activities
Optimize application performance, scalability, reliability, and security
Troubleshoot software integration and deployment issues across development and operational environments
Collaborate with Data Scientists and Data Engineers to operationalize AI solutions
Work with RF engineering personnel and Analysts to ensure developed capabilities meet mission requirements
Support Government stakeholders throughout development, integration, testing, and operational transition
Experience integrating AI/ML models into production or mission-facing software environments
Experience developing AI-enabled applications, backend services, and microservices
Experience designing and implementing REST APIs
Experience developing and deploying containerized applications using Docker and Kubernetes
Experience supporting MLOps, DevSecOps, and CI/CD pipelines
Experience with software orchestration and cloud-native deployment architectures
Experience integrating software within secure and classified environments
Experience performing software integration, testing, verification, validation, deployment, and sustainment
Experience optimizing application performance, scalability, reliability, and security
Ability to integrate machine learning inference services, data services, RF simulation outputs, and mission-facing analytics
Understanding of cybersecurity and interoperability requirements within Government software environments
Ability to collaborate across multidisciplinary teams including Data Scientists, Data Engineers, RF engineers, Analysts, and software engineering personnel
Ability to work with Government stakeholders to meet technical, mission, performance, cybersecurity, and scalability requirements
Experience: Ten (10) to fifteen (15) years of related professional experience supporting programs and contracts of similar scope, type, and complexity.
Education: Bachelor’s degree or higher in a computer science or related discipline (e.g., Statistics, Mathematics, Programming, or Systems Engineering). In lieu of a Bachelor’s degree, two (2) additional years of related experience may be substituted.
Substitution of Experience: A Master’s degree from an accredited college or university in a related engineering discipline (e.g., Statistics, Mathematics, Operations Research, Cyber Security, Engineering or Computer Science) may be substituted for two (2) years of experience. A PhD from an accredited college or university in a related engineering discipline may be substituted for four (4) years of experience.
Clearance: Active TS/SCI with CI Poly Required
Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
• DeNOVO Paid Health Reimbursement Account (HRA)
401k with 6% Match
• 11 Paid Federal Holidays
120 hours of Paid Time Off (PTO)
Company Outings and Trips
Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance
HomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home
About DeNOVO Solutions
IT Services & Consulting65 employeesFounded 2012
Black-owned SDVOSB delivering defense, intelligence, software engineering, AI, cybersecurity, and analytics services to government customers.