AI/ML Engineer - GTRI-ICL

AI/ML Engineer

• GTRI-ICL

  Georgia Tech Research Institute
• 4.

1 San Diego, CA Job Details 2 hours ago Benefits Health insurance Tuition reimbursement Retirement plan Qualifications R SQL Jupyter Logistic regression Debian Jupyter Notebook Natural language processing

JSON AI RHEL PCA

Machine learning frameworks Linux administration Random Forest Full Job Description 500177

San Diego, California Atlanta, Georgia Algorithm Development Artificial Intelligence Autonomous Systems Researchers Add To Favorites View Favorites Overview:

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. 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 researchers. We 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 problems. The ideal candidate will have broad experience and expertise in applied of

AI/ML. A

strong candidate will have a passion for researching novel solutions for a wide range of research domains to include DoD and DoE. This position will focus on the design, development and deployment of AI/ML models. The candidate will work closely with staff members in a collaborative working environment. This is an excellent opportunity for a motivated, results-oriented professional. We are seeking people who get excited about working with data developing novel AI/ML solutions. The ARCAID Division works with a diverse group of organizations and agencies in National Security and the public health space. The 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 customers. Job 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 applications. The AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive systems. The 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 environments. The AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systems. The AI/ML Engineer has familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learning. When 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 systems. Key Responsibilities Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets, GPUs) based on available hardware (e.g., embedded systems, cloud, on-premise, etc.) Lead a team of engineers responsible for system deployment Develop novel algorithms and methodologies Engage with sponsors to understand and meet system requirements Serve as the primary author on technical reports and proposals Additional Responsibilities Architecting, developing and deploying AI pipeline solutions on AWS, Microsoft Azure or on premise solutions Database system design and query development for SQL and NoSQL systems to include; MS SQL Server, PostGres DB, MariaDB, Nero4J and MongoDB Independently conducting exploratory data analysis, documenting and presenting findings to senior leadership and decision makers Independently applying of Machine Learning techniques such as supervised, unsupervised and semi-supervised learning Develop Machine Learning operation guidance, architectures and deployment in production Developing and applying Natural Language Processing techniques Performing as a main contributor to small AI/ML development teams Experience leveraging geospatial application tools such as OpenStreetMap, Nominatim and PostGIS Required Minimum Qualifications Machine Learning modeling experience Decision Trees, Random Forest, Support Vector Machines, Logistic Regression, Neural Network Architecture, K-Means and dimensionality reduction techniques Basic cloud development experience in AWS and/or Microsoft Azure Experience building data sets from SQL based systems such as PostGres and MariaDB Experience working with Data Science IDEs such as JupyterLab, JupyterHub and Anaconda environments Coding experience with Python, R and GitHub/GitLab Working experience with Linux based systems RHEL, Rocky Linux, Ubuntu other Debian operating systems Ability to work well with a variety of teams with diverse skill sets Preferred Qualifications Completion of Master's degree or pursing in Analytics, Machine Learning or Computer Science Experience developing and deploying AI pipeline designs Fundamental programming skills languages such as Python, Java and JavaScript Experience modeling data in JSON and Entity Relational Diagraming (ERD) design Experience working with cloud-based analytics environment, such as Databricks, Azure ML and AWS Experience working with databases (i.e. configuring, deploying, securing and maintaining) Experience working with government systems 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 announcement. The 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 Handbook 5 years of related experience with a Bachelor's degree in
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• 3 years of related experience with a Masters' degree in
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• 0 years of related experience with a Ph.D. in
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• U.

S. Citizenship Requirements Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens. Clearance Type Required Candidates must be able to obtain and maintain an active security clearance. Benefits 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://benefits.hr.gatech.edu/. Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. USG Core Values Statement The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct. Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.