- Lead MLOps focused on ML and DevOps focused on data engineering, analytics, AI & ML model creation, and AI/ML embedded system architecture. Manage prototyping, testing, and documentation processes, driving innovation in AI/ML for national defense.
- Collaborate with the engineering team to design, develop, test, and document automated analysis and reporting features for applications, focusing on integrating AI/ML models into information exploitation systems. This includes field implementation of these advanced capabilities.
- Lead 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.
- ML and signal processing would involve some deep learning models for signal classification.
- Join elite engineers in tackling complex projects in knowledge/information exploitation, spectrum exploitation, and data engineering.
- Deliver impactful results for a diverse client base, contributing to innovative engineering solutions.
- Collaborate with clients and analysts to identify AI/ML needs and integrate these technologies into broader systems.
- Work across the Division to enhance AI/ML development capabilities, shaping system architectures and expanding tech horizons.
- 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, Masters or a PhD in Machine Learning/Artificial Intelligence, Data Science, Data Engineering, Computer Engineering.
- Must hold active TS/SCI clearance.
- 12 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.
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LEAD ANALYST - San Antonio, United States - SWRI
Description
LEAD ANALYST professionals in San Antonio
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Elizabeth Haynie
Technical Product Manager
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John Denny
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curtis rhodes
Senior Network Security Engineer/ISSO
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Peter Englund
Wealth Management
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Ingrid Glueck-Maldonado
Chief Financial Officer