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. - This position is curre... more details
AI Engineer | Applied Research & Partnerships Intern (Summer 2024)
Job LocationsUS-VA-Tysons
Posted Date12 hours ago(6/24/2024 8:46 PM)
Job ID
2024-11503
# of Openings
1
Category
Data/Analytics
Overview
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.
*This position is currently full-time telework with the ability to periodically work out of our Tysons, VA HQ*
LMI has been named a 2024 Campus Foward Award Winner! This Award recognizes excellence in early career hiring, celebrating the teams that embrace innovative recruiting strategies, care deeply about the candidate experience, are making significant investments in DEIA, and are supporting the next generation of talent through impactful internships and entry-level programs.
Responsibilities
Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes
Develop and implement digital and analytic approaches
Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications
Research algorithms in machine learning to identify viable approaches to meet business requirements
Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning
Design solution prototypes 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
Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.
Currently enrolled in a Graduate (Masters) program highly preferred
Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline
Must be able to work for a minimum of 10-12 weeks beginning in Summer 2024 (May/June)
Comfortable working with agile teams, developing prototypes and functionality in short development sprints
Ability to work independently and collaborate effectively with a project team in an agile research and development environment
Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket
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
Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability
Familiarity with the underlying mathematics of machine learning
Knowledge of data structures and data management principles, methods, and tools
Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML
Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code
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.js
Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud
Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)
LMI 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.org
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