Aperio Global is seeking a Machine Learning / Artificial Intelligence Engineer to design, develop, and deploy AI/ML solutions that support advanced data collection, automation, and analytics for mission-critical environments.
Requirements
- Proven ability to automate customer workflows and business processes using AI/ML solutions.
- Strong background in data structures, data modeling, and software architecture.
- Hands-on expertise with PyTorch, TensorFlow, and other ML frameworks.
- Advanced math and computer science skills with deep knowledge of probability, statistics, and algorithms.
- Proficiency in AI/ML programming languages: Python, Java, C++, Conda, etc.
- Experience in training AI models and integrating pre-trained models into dataflows and enterprise systems.
- Experience implementing secure AI solutions within the Intelligence Community.
Responsibilities
- Train machine learning models across a wide range of applications, including: Automated code synthesis for web scraping, “Self-healing” automation of scrapes and data pipelines, Visual object detection in video (e.g., vehicles, license plates, etc.), Automated review and analysis of corporate terms of service, Open-source data collection and integration into Sponsor-owned AI/ML systems.
- Build complete AI-based systems, integrating multiple models, human-review processes, ETL pipelines, and databases.
- Develop and productize AI solutions for operational use, including system updates, break/fix support, and enhancements.
- Research and evaluate state-of-the-art AI/ML technologies to integrate into Sponsor efforts.
- Integrate secure and scalable AI/ML functionality into enterprise software applications.
- Program systems to detect, analyze, and respond to specific conditions in real-time.
- Frame and scale data problems for analysis, visualization, and decision-making.
Other
- This position requires a TS SCI with POLY.
- ONLY candidates who have the appropriate clearance level will be considered.
- Collaborate across teams and stakeholders to design, scale, and align AI solutions with mission and business objectives.
- Derive insights and communicate findings through data storytelling, visualization, and analytic narratives.
- Assess AI/ML technology trends and their strategic implications.
