LEAD ENGINEER - PRINCIPAL ANALYST - PRINCIPAL ENGINEER - DATA ENGINEER Engineering - San Antonio, TX at Geebo

LEAD ENGINEER - PRINCIPAL ANALYST - PRINCIPAL ENGINEER - DATA ENGINEER

Lead research engineers with data engineering, data analytics, AI & ML model development, AI/ML systems architectures with embedded AI/ML functions, prototyping, testing, and documentation.
Work with engineering staff to analyze, design, develop, test, document, and field automated analysis, and reporting capabilities for applications such as integrated AI / ML model integration into information exploitation systems.
Lead and perform research and development using knowledge and data engineering and data analytics to apply new technologies, skills, techniques, and advancement of AI/ML in new areas and new technologies.
Opportunity to work with world-class engineers in knowledge and information exploitation, spectrum exploitation, and data engineering projects on challenging engineering problems producing insightful results for a diverse set of clients.
Interface with clients and analysts to define AI/ML needs and requirements, and systems architectures that integrate AI/ML into larger systems; and work within the RSD Department and other Division to help expand AI/ML development capabilities.
Develop processes, methods, standards and procedures and perform data analytics of small and large volumes of highly interesting technical data.
Identify and discover data analytics and AI/ML requirements, design architectures for the deployment of AI/ML in research-oriented and production systems; design knowledge maintenance and management capabilities for these systems.
Lead data analysts and engineers in the design, development and performance accuracy tuning of AI algorithms and ML models.
Lead continuous development/integration to include verification, validation and documentation in DEVOPS environments.
Lead senior engineers and data analysts with identifying metrics for benchmarking and optimization, prototype experimentation, testing, and troubleshooting, and integration into larger information systems hosting the AI/ML components.
Interface with clients and clients' data analysts to define AI/ML needs and requirements; and work within the RSD Department and D&IS Division to help expand AI/ML development capabilities as institutional knowledge and skills.
Requires a Bachelors in Machine Learning, AI, Data Science, Computer Engineering, or Data Engineering Background in military intelligence or electronic warfare is a plus, but not required 8 years:
Data Engineering, to include data analytics, AI & ML model development using a variety of AI and neural network techniques and approaches Python, TensorFlow, Keras, pytorch, and/or other development and data analysis tools C+
and Java are desired Knowledge of MATLAB for data engineering desired but not required Design and planning of data architectures leading to AI and ML integration into large application systems AWS AI and ML development desired, but not required Knowledge of the Intelligent Community Classified Cloud a plus, but not required A valid/clear driver's license is required Recommended Skills Algorithms Artificial Intelligence Artificial Neural Networks C+
(Programming Language) Computer Engineering Data Analysis Estimated Salary: $20 to $28 per hour based on qualifications.

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