Geospatial AI/ML Software Engineer

1 month ago


Reston, Virginia, United States 00100 LEIDOS, INC. Full time

Leidos National Security Sector is seeking a highly skilled Geospatial AI/ML Software Engineer to join our team. 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 support our defense and intelligence customers.

The ideal candidate will have a strong background in computer science, data science, or a related field, with 8+ years of experience in AI/ML engineering. You will be proficient in programming languages such as Python, R, or Java, and have experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with Agile DevSecOps practices and tools like Jenkins, Docker, and Kubernetes is also a plus.

As a Geospatial AI/ML Software Engineer, you will collaborate with senior engineers and cross-functional teams to design, develop, and deploy AI/ML models and applications. You will process and analyze large geospatial datasets to extract meaningful insights and improve model performance. You will also optimize and tune AI/ML models for performance, considering both computation efficiency and predictive accuracy.

Key responsibilities include:

  • Collaborating with senior engineers and cross-functional teams to design, develop, and deploy AI/ML models and applications
  • Processing and analyzing large geospatial datasets to extract meaningful insights and improve model performance
  • Optimizing and tuning AI/ML models for performance, considering both computation efficiency and predictive accuracy
  • Developing data preprocessing pipelines and feature engineering strategies tailored to geospatial data
  • Conducting model evaluation and validation, including performance metrics and error analysis
  • Implementing MLOps practices to streamline the machine learning lifecycle, including version control, automated testing, continuous integration, and deployment of models
  • Monitoring and maintaining AI/ML models post-deployment, ensuring they continue to perform as expected and updating them as needed
  • Participating in code reviews and providing constructive feedback to peers to maintain high coding standards
  • Documenting model development processes, results, and best practices for knowledge sharing and reproducibility
  • Staying updated with the latest advancements in AI/ML and geospatial analytics
  • Assisting in creating technical documentation and presentations to communicate findings and progress to stakeholders
  • Implementing hybrid-cloud solutions for scalable and efficient data processing and model deployment
  • Ensuring security best practices are integrated into the development lifecycle, including compliance with data protection regulations

Preferred qualifications include experience with GIS tools and libraries, geospatial datasets and phenomenologies, machine learning frameworks and libraries, and Agile-based knowledge and skill.



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