AIML Software Engineer Geospatial

5 days ago

Fairfax, Virginia, United States Leidos Full time
Job Summary

We are seeking a highly skilled Geospatial AI/ML Software Engineer to join our team at Leidos. As a key member of our Spatial Solutions Division, you will be responsible for developing innovative solutions that leverage geospatial data and AI/ML technologies to drive business results.

Key Responsibilities
  • Collaborate with senior engineers and cross-functional teams to design, develop, and deploy AI/ML models and applications.
  • Process and analyze large geospatial datasets to extract meaningful insights and improve model performance.
  • Optimize and tune AI/ML models for performance, considering both 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, including version control, automated testing, continuous integration, and deployment of models.
  • Monitor and maintain AI/ML models post-deployment, ensuring they continue to perform as expected and updating them as needed.
  • Participate in code reviews and provide constructive feedback to peers to maintain high coding standards.
  • Document model development processes, results, and best practices for knowledge sharing and reproducibility.
  • Stay updated with the latest advancements in AI/ML and geospatial analytics.
  • Assist in creating technical documentation and presentations to communicate findings and progress to stakeholders.
  • Implement hybrid-cloud solutions for scalable and efficient data processing and model deployment.
  • Ensure security best practices are integrated into the development lifecycle, including compliance with data protection regulations.
Requirements
  • US citizenship is required per contract with the ability to obtain TS/SCI w/poly.
  • BS degree in Computer Science, Data Science, Engineering or related field and 8+ years of prior relevant experience.
  • 2-5 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 such as AWS, Azure, or Google Cloud.
  • Familiarity with Agile DevSecOps practices and tools likes Jenkins, Docker, and Kubernetes.
  • Possess strong analytical and problem-solving abilities to troubleshoot complex technical issues and design effective solutions.
  • Possess effective communication and be able to collaborate with Customers, and cross-functional teams, document technical processes, and present solutions to stakeholders.
  • Must be able to prioritize tasks effectively, manage deadlines, and handle multiple projects simultaneously.
  • Excellent organizational skills and keen attention to detail, with the ability to multitask and prioritize effectively in a fast-paced, dynamic work environment.
  • Enthusiasm for learning and adapting to new technologies and methodologies.
Preferred Qualifications
  • Experience with GIS tools and libraries (GDAL, Postgis, ArcGIS, QGIS).
  • Experience with geospatial datasets and phenomenologies (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).

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