Today
Public Trust
Unspecified
Unspecified
Construction/Facilities
Remote/Hybrid• (Off-Site/Hybrid)
About Peraton
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Program Overview
About The Role
Peraton is seeking a detail-oriented AI/ML Engineer to design, test, and optimize prompts that improve the performance, accuracy, and safety of AI language models. for the Department of Defense (DoD) DMDC's Enterprise Law Enforcement Support Services (ELEs2). In this role, you will be key in designing, developing, and deploying cutting-edge machine learning solutions to address complex business challenges across DBIDS, IMESA, I2. You will collaborate with cross-functional teams to grasp requirements, developing AI agents and performing prompt engineering. The ideal candidate has strong communication skills, creative problem-solving abilities, and a deep understanding of NLP concepts. This role involves close collaboration with AI researchers, developers, and product teams to fine-tune model behavior and enhance user interactions.
What You'll Do:
Qualifications
Required Qualifications:
SCA / Union / Intern Rate or Range
Details
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position based on experience and other factors.
EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Program Overview
About The Role
Peraton is seeking a detail-oriented AI/ML Engineer to design, test, and optimize prompts that improve the performance, accuracy, and safety of AI language models. for the Department of Defense (DoD) DMDC's Enterprise Law Enforcement Support Services (ELEs2). In this role, you will be key in designing, developing, and deploying cutting-edge machine learning solutions to address complex business challenges across DBIDS, IMESA, I2. You will collaborate with cross-functional teams to grasp requirements, developing AI agents and performing prompt engineering. The ideal candidate has strong communication skills, creative problem-solving abilities, and a deep understanding of NLP concepts. This role involves close collaboration with AI researchers, developers, and product teams to fine-tune model behavior and enhance user interactions.
What You'll Do:
- Architect and deploy cloud infrastructure solutions that are secure, scalable, and optimized for AI and machine learning workloads.
- Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
- Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
- Design and implement continuous integration and delivery pipelines for AI applications.
- Develop automation scripts and infrastructure as code to streamline deployment and management tasks.
- Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.
- Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.
- Develop solutions that operate in DoD approved environments and architectures
Qualifications
Required Qualifications:
- Bachelor's degree and 5 years' experience, MS/MA with 3 years of experience, PhD with 0 years of experience, 9 years in lieu of degree
- Ability to Obtain Public Trust clearance
- Must be a U.S Citizen
- Familiarity in integrating AI models through APIs or SDKs
- Experience with AI-assisted development tools like
- GitHub Copilot
- Codeium
- Machine learning concepts
- Software developer experience in leveraging AI in software development include:
- NIPRGPT, CAMOCGP, OpenAI, TensorFlow
- Prompt engineering
- Retrieval-Augmented Generation (RAG) techniques
- Experience with LLMs (e.g., GPT), NLP tools, and prompt design strategies.
- Familiarity with Python or scripting languages is a plus.
- Proficiency in programming languages such as Python, JavaScript, or Java
SCA / Union / Intern Rate or Range
Details
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position based on experience and other factors.
EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
group id: 91005870
