LMI Consulting, LLC
AI Engineer - LLMs - Clearance Required
LMI Consulting, LLC, Mc Lean, Virginia, us, 22107
AI Engineer - LLMs - Clearance Required
Job Locations
US-VA-Tysons | US-Remote
Job ID
2024-11963
# of Openings
1
Category
Data/Analytics
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 applicationsResearch algorithms in machine learning to identify viable approaches to meet business requirementsDesign 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 softwareWork with Docker to develop and deploy containerized versions of modelsParticipate in design and code reviews, and collaborate with a strong, passionate engineering teamProvide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to usersInterface 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 sprintsComfortable using CI/CD processes and GitAbility to think critically to propose tractable solutions to complex problemsEffective written and verbal communication skillsAbility to communicate complex concepts to both technical and business-focused audiencesMinimum 2-years' experience with Python developmentFamiliarity with the underlying mathematics of machine learningKnowledge of data structures and data management principles, methods, and toolsClearance:
Active SecretPreferred:Graduate degree in engineering, mathematics, computer science, or related technical disciplineExperience using industry guidelines and best practices for developing software including GitLab, Docker, and automated deployments.Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.jsAbility to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google CloudFamiliarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)Experience building tools using Large Language Models, Retrieval-Augmented Generation, Embedding Models, and Prompt EngineeringKnowledge of the Army software development process and its technologies#LIGERLMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.orgColorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Need help finding the right job?
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Job Locations
US-VA-Tysons | US-Remote
Job ID
2024-11963
# of Openings
1
Category
Data/Analytics
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 applicationsResearch algorithms in machine learning to identify viable approaches to meet business requirementsDesign 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 softwareWork with Docker to develop and deploy containerized versions of modelsParticipate in design and code reviews, and collaborate with a strong, passionate engineering teamProvide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to usersInterface 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 sprintsComfortable using CI/CD processes and GitAbility to think critically to propose tractable solutions to complex problemsEffective written and verbal communication skillsAbility to communicate complex concepts to both technical and business-focused audiencesMinimum 2-years' experience with Python developmentFamiliarity with the underlying mathematics of machine learningKnowledge of data structures and data management principles, methods, and toolsClearance:
Active SecretPreferred:Graduate degree in engineering, mathematics, computer science, or related technical disciplineExperience using industry guidelines and best practices for developing software including GitLab, Docker, and automated deployments.Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.jsAbility to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google CloudFamiliarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)Experience building tools using Large Language Models, Retrieval-Augmented Generation, Embedding Models, and Prompt EngineeringKnowledge of the Army software development process and its technologies#LIGERLMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.orgColorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Need help finding the right job?
We can recommend jobs specifically for you!Click here to get started.