Data Engineer- AI/ML Engineer Jobs

REQ#: RQ182109 Public Trust: None Requisition Type: Regular Your ImpactOwn your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats.Job DescriptionData Engineer SeniorDeliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.At GDIT, people are our differentiator. As a Data Engineer Senior you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Engineer Senior joining our team to be a member of a team tasked with utilizing AI/ML solutions to better optimize data within our environment. The ideal Data Engineer will have a background in AI/ML Engineering that is familiar with AI/ML solutions and has experience leveraging AI/ML to better optimize data. The Data Engineer will apply data mining techniques perform statistical analysis and build high-quality prediction models. The Data Engineer's ability to obtain data through advanced computerized models and extrapolation of data patterns through advanced algorithms to explain how the information will influence the specific project will be an essential function to providing customers a better comprehension of the data.HOW A DATA ENGINEER SENIOR WILL MAKE AN IMPACT• Designs, develops, maintains, and tests infrastructures for data generation as well as optimizing data flow and collection for cross functional teams.• This candidate will work closely with customer management, project managers, system architects, data scientists, data engineers, and machine learning engineers to formulate recommendations for enhancements and improvements geared towards utilizing innovative engineering solutions.WHAT YOU'LL NEED TO SUCCEED:• Education: BS/BA in Software Engineering, Science, Mathematics, or related technical discipline, or the equivalent combination of education, technical training, or work/military experience• Required Experience: A minimum of five (5) years of related experience data engineering experience• Required Technical Skills:• Experience with Large Language Model (LLM) architectures and training procedures• Knowledgeable of cloud solutions (ex - Databricks, Snowflake, etc.)• Big Data Frameworks such as Spark or Hadoop• Data Science frameworks such as Keras, Tensorflow, or Theano• Experience with building querying ontologies such as Zeno, OWL, RDF, SparQL• Experience with GPU processing of data using Python or Java• Experience with word2vec or doc2vec algorithms• Skilled in Java and Python• Must know to use an IDE to code (ex - Visual Studio Code, IntelliJ, Eclipse, NetBeans)• Experience with interacting in a Linux environment (ex - Bash scripting, VI)• Intrapersonal communication skills• Ability to work well in a constantly evolving work environment• Security Clearance Level: TS/SCI w/Poly• Required Skills and Abilities:• Develop and train Large Language Models (LLMs) in support of the customer mission• Investigate business area processes for creative implementation of LLMs• Apply data mining techniques to perform statistical analysis• Assists with technical planning activities, including roadmap development and systems integration• Collaborates with a variety of customers and contractors on a regular basis, which may include technical consultation, meeting coordination and support (e.g., TEMs), and preparation/support of technical briefings• Participates in the development of technical project plans, reports, and contract (e.g., PMR) briefings• Look for new capabilities for our data and data platform• Preferred Skills:• Familiarity with Source code management and integration (ex - GitHub/GitLab, Jenkins)• Experience with search architecture tools (ex - Solr, ElasticSearch)• Hands on experience with cloud technology (AWS / C2S)• Experience in an Agile environment• Experience with testing frameworks (ex - Junit, Mockito, Swagger, Postman)• Experience with relational databases (ex - Oracle / MySql)• Experience with JavaScript / Typescript• Experience with front end development (ex - Angular 2+, React, HTML, CSS, JQuery)• Location: On Customer SiteGDIT IS YOUR PLACE:• 401K with company match• Comprehensive health and wellness packages• Internal mobility team dedicated to helping you own your career• Professional growth opportunities including paid education and certifications• Cutting-edge technology you can learn from• Rest and recharge with paid vacation and holidaysWork Requirements.cls-1{fill:none;stroke:#5b6670;stroke-miterlimit:10;stroke-width:2px}Years of Experience5 + years of related experience• may vary based on technical training, certification(s), or degree.cls-2{fill:none;stroke:#5b6670;stroke-miterlimit:10;stroke-width:2px}CertificationTravel RequiredLess than 10%.cls-3{fill:none;stroke:#5d666f;stroke-miterlimit:10}CitizenshipU.S. Citizenship RequiredSalary and Benefit InformationThe likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.View information about benefits and our total rewards program.About Our WorkWe are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.