Configure, manage, and deploy local AI models while ensuring adherence to performance, compliance, and security standards.
Design, develop, and deploy intelligent agents for data analysis and decision-making.
Document system configurations, procedures, and support activities related to AI services.
Write clean, efficient, and well-documented code supporting the full AI development lifecycle, from data processing to deployment.
Create evaluation frameworks for model performance.
Collaborate with GIS teams to integrate AI solutions into geospatial workflows.
Optimize AI models for performance and scalability.
Implement and manage multi-agent systems to solve complex problems.
Leverage GPU architecture expertise to optimize computational resource usage and enhance model performance.
Build production-ready ML systems that integrate LLMs into applications.
Handle model deployment and scaling infrastructure.
Comply with company drug and alcohol policy.
Requirements
python
cuda
tensorflow
pytorch
secret clearance
geospatial
Familiarity with geospatial data formats, tools, and solutions.
Customer Knowledge: Familiarity with Federal Market and technical approaches related to next-generation cloud, network, and cybersecurity technologies.
Excellent problem-solving and analytical skills.
Digital and Technology Expertise: Understanding of various digital technologies, platforms, and tools relevant to the program's objectives.
In-depth knowledge of GPU architectures (e.g., CUDA) and practical performance optimization techniques.
Communication and Interpersonal Skills: Ability to communicate effectively with diverse stakeholders, build relationships, and influence decision-making.
Proven experience as an AI/ML Developer with a focus on intelligent agents and multi-agent system design.
Must be proficient in English, both written and verbal, to ensure effective communication and collaboration.
Be authorized to work in the US or will be authorized by the successful candidate’s start date.
Experience supporting customer-facing products with focus on uptime, throughput, and low latency.
Problem-Solving and Analytical Skills: Ability to identify and solve complex problems, analyze data, and make data-driven decisions.
Strong communication and interpersonal skills
Successful results of preemployment screenings, including federal background check, MVR, and drug screen.
Hands-on experience developing multi-agent systems (i.e., orchestration, fine tuning, microservices) for customer-facing products.
Strong Project Management Skills: Ability to plan, organize, and manage multiple projects simultaneously, ensuring they are completed on time and within budget.
Leadership and Team Management Skills: Ability to lead and motivate teams, build consensus, and drive collaboration.
Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
Must be able to obtain and maintain a Secret Security Clearance.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
federal background check
motor vehicle record (mvr) check
drug screen
Company
Overview
Born 1969
Founded
Established as a small applied physics startup and evolved into a global mission-lifecycle services firm.
2023 Merge
Expansion
Merged with Louis Berger Services, expanding operations, logistics, and maintenance offerings worldwide.
$750M Revenue
Annual Income
Generates $750 million annually through complex government and commercial contracts.
Delivers environmental remediation, ecological planning, and hazardous-materials work in challenging zones.
Runs program and project management in infrastructure, security systems, IT integration, and installation support.