Overview:
Join our cutting-edge generative AI (GenAI) platform, LIGER™, created by its technology studio, LMI Forge. LIGER™ harnesses the power of advanced technology, data analytics, and the latest in machine learning and natural language processing to provide secure, private, and trustworthy GenAI solutions for government.
At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

Responsibilities:

• Identify opportunities where Generative AI can generate business insights or improve business processes
• Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate LLMs and Generative AI with web-based applications
• Research algorithms in machine learning to identify viable approaches to meet business requirements
• Design solutions that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)
• Become familiar with DevSecOps principles to continuously deliver high-quality software
• Work with Docker to develop and deploy containerized versions of models
• Participate in design and code reviews, and collaborate with a strong, passionate engineering team
• Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users
• Interface with customer stakeholders to provide technical explanations and support

Qualifications:

Minimum:

• Bachelor’s degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.
• Comfortable working with agile teams, developing tools and functionality in short development sprints
• Comfortable using CI/CD processes and Git
• Ability to think critically to propose tractable solutions to complex problems
• Effective written and verbal communication skills
• Ability to communicate complex concepts to both technical and business-focused audiences
• Minimum 2-years’ experience with Python development
• Familiarity with the underlying mathematics of machine learning
• Knowledge of data structures and data management principles, methods, and tools

• Identify opportunities where Generative AI can generate business insights or improve business processes
• Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate LLMs and Generative AI with web-based applications
• Research algorithms in machine learning to identify viable approaches to meet business requirements
• Design solutions that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)
• Become familiar with DevSecOps principles to continuously deliver high-quality software
• Work with Docker to develop and deploy containerized versions of models
• Participate in design and code reviews, and collaborate with a strong, passionate engineering team
• Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users
• Interface with customer stakeholders to provide technical explanations and suppor