Advanced Geospatial AI Engineer

We are seeking an experienced Senior AI/ML Software Engineer to join our team at Leidos National Security Sector.

Leidos combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support defense and intel customers worldwide. Our focus is on providing the right tools, technologies, and tactics to keep pace with an evolving security landscape and protect people and critical assets.

The Decision Advantage Solutions Business Area, Office of Technology, seeks a skilled Senior AI/ML Software Engineer to develop innovative solutions through research and integration of industry best practices. As an AI/ML Software Engineer, you will work alongside technical leaders to process and analyze geospatial datasets, contributing to the development and deployment of AI/ML models and applications on cloud and high-performance computing platforms.

This role offers hands-on experience in a cutting-edge technology environment and opportunities to make significant contributions to our projects.

• Lead design, development, and implementation of AI/ML models for large geospatial datasets, ensuring accuracy and scalability.
• Create and use advanced machine learning algorithms to extract insights and patterns from geospatial data.
• Optimize and tune AI/ML models for performance, considering computation efficiency and predictive accuracy.
• Develop data preprocessing pipelines and feature engineering strategies tailored to geospatial data.
• Conduct model evaluation and validation, including performance metrics and error analysis.
• Implement MLOps practices to streamline the machine learning lifecycle.
• Monitor and maintain AI/ML models post-deployment, ensuring they perform as expected.
• Participate in code reviews and provide constructive feedback to peers.
• Document model development processes, results, and best practices.
• Stay updated with the latest advancements in AI/ML and geospatial analytics.

To be successful in this role, you must have:

• A bachelor's degree in Computer Science, Data Science, Engineering, or a related field, and 12+ years of relevant experience.
• 7+ years of experience in AI/ML engineering, with a focus on model design, development, and deployment.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with Agile DevSecOps practices and tools like Jenkins, Docker, and Kubernetes.
• Strong analytical and problem-solving abilities to troubleshoot complex technical issues.
• Effective communication and collaboration skills to work with Customers and cross-functional teams.
• Ability to prioritize tasks effectively, manage deadlines, and handle multiple projects simultaneously.
• Excellent organizational skills and attention to detail.
• Enthusiasm for learning and adapting to new technologies and methodologies.

• PhD in a relevant field.
• Recognized expert technologist with 10-15 year experience in mission software solutions related to data science, machine learning, or other similar technology.
• Experience with GIS tools and libraries (GDAL, Postgis, ArcGIS, QGIS).
• Experience with geospatial datasets and Phenomenology's (EO, IR, SAR).
• Knowledge of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-Learn).
• Agile-based knowledge and skill, including experience with Scrum Ceremonies and work management tools (e.g., JIRA, Confluence).

The estimated salary for this position ranges from $126,100 to $227,950 per annum, depending on qualifications and experience.