AI/ML Engineer - GTRI-ICL with Security Clearance Education, Training & Library - Washington, DC at Geebo

AI/ML Engineer - GTRI-ICL with Security Clearance

Project/Unit Description The Advanced Research in Computing and Artificial Intelligence Division (ARCAID) within the ICL Lab is seeking an Experienced AI/ML Research Engineer to join our team of passionate researchersWe seek an experienced Engineer who can develop AI and ML solutions in support AI research efforts leveraging the latest tools and techniques to realize solutions for the nation's most challenging problemsThe ideal candidate will have broad experience and expertise in applied of AI/MLA strong candidate will have a passion for researching novel solutions for a wide range of research domains to include DoD, DOE and Healthcare industryThis position will focus on the design, development and deployment of AI/ML modelsThe candidate will work closely with staff members in a collaborative working environmentThis is an excellent opportunity for a motivated, results-oriented professionalWe are seeking people who get excited about working with data developing novel AI/ML solutionsThe ARCAID Division works with a diverse group of organizations and agencies in National Security and the public health spaceThe ideal candidate must be able to communicate complex technical material clearly to a wide variety of audiences including academia, conference proceedings, management, business development leads, prospective and existing customersJob Purpose The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applicationsThe AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive systemsThe AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environmentsThe AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systemsThe AI/ML Engineer has familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learningWhen conducting research, the AI/ML Engineer leverages the most recent advances in statistical analysis of large data sets to advance state-of-the-art automated sensor and data processing for a broad range of intelligent and sensor-enabled systemsKey Responsibilitieso Apply tools and frameworks to deploy machine learning modelso Conduct data conditioning, processing, filtering, and fusion to support the creation of automated algorithmso Make decisions regarding implementation based on available hardware (e.
g.
, embedded systems, cloud, server infrastructure)o Design application logging capabilities and perform debugging with available logs Additional Responsibilitieso Architecting, developing and deploying AI pipeline solutions on AWS, Microsoft Azure or on premise solutionso Database system design and query development for SQL and NoSQL systems to include; MS SQL Server, PostGres DB, MariaDB, Nero4J and MongoDBo Independently conducting exploratory data analysis, documenting and presenting findings to senior leadership and decision makerso Independently applying of Machine Learning techniques such as supervised, unsupervised and semi-supervised learningo Develop Machine Learning operation guidance, architectures and deployment in productiono Developing and applying Natural Language Processing techniqueso Performing as a main contributor to small AI/ML development teamso Experience leveraging geospatial application tools such as OpenStreetMap, Nominatim and PostGIS Required Minimum Qualificationso MS or equivalent degree in Computer Science, Computer Security, Computer Engineering, Cybersecurity, or related field with 4
years of work experienceo Machine Learning modeling experience Decision Trees, Random Forest, Support Vector Machines, Logistic Regression, Neural Network Architecture, K-Means and dimensionality reduction techniqueso Basic cloud development experience in AWS and/or Microsoft Azureo Experience building data sets from SQL based systems such as PostGres and MariaDBo Experience working with Data Science IDEs such as JupyterLab, JupyterHub and Anaconda environmentso Coding experience with Python, R and GitHub/GitLabo Working experience with Linux based systems RHEL, Rocky Linux, Ubuntu other Debian operating systemso Ability to work well with a variety of teams with diverse skill sets Preferred Qualificationso Master's degree or pursing in Analytics, Machine Learning or Computer Scienceo Experience developing and deploying AI pipeline designso Fundamental programming skills languages such as Python, Java and JavaScripto Experience modeling data in JSON and Entity Relational Diagraming (ERD) designo Experience working with cloud-based analytics environment, such as Databricks, Azure ML and AWSo Experience working with databases (i.
econfiguring, deploying, securing and maintaining)o Experience working with government systemso Currently possess or can obtain a DoD Top Secret Security clearance Travel Requirements 10% - 25% travel Education and Length of Experience This position vacancy is an open-rank announcementThe final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.
2.
1 of the Georgia Tech Faculty Handbooko 2 years of related experience with a Bachelor's degree in Computer Science, Computer Security, Industrial and Systems Engineering, Analytics, Computing or related degree fieldo 0 years of related experience with a Masters' degree in Computer Science, Computer Security, Industrial and Systems Engineering, Analytics, Computing or related degree field U.
SCitizenship Requirements Due to our research contracts with the U.
Sfederal government, candidates for this position must be U.
SCitizensClearance Type Required Candidates must be able to obtain and maintain an active security clearanceBenefits at GTRI Comprehensive information on currently offered GTRI benefits, including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link:
https:
//hr.
gatech.
edu/benefits Diversity & Inclusion Diversity & Inclusion (D&I) at Georgia Tech Research Institute aims to enhance the Institute's mission of solving the world's most complex technical problems by creating a workforce with a shared appreciation for diversity, raising awareness around inclusiveness, and fostering a sense of belonging and appreciation for all members of our communityEqual Employment Opportunity Georgia Tech Research Institute is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employeesEqual Employment Opportunity is the Law Posted:
02/02/2024 Closes:
05/03/2024 Back Recommended Skills Algorithms Anaconda Architecture Artificial Intelligence Artificial Neural Networks Azure Machine Learning Apply to this job.
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