Senior AI/ML Software Engineer

2 months ago

Fairfax Station, Virginia, United States Leidos Full time
Job Title:

Senior AI/ML Software Engineer

Job Summary:

Leidos is seeking an experienced Senior AI/ML Software Engineer to join our team. As a key member of our Decision Advantage Solutions Business Area, you will be responsible for developing innovative AI/ML solutions that process and analyze large geospatial datasets. You will work alongside technical leaders to design, develop, and deploy AI/ML models and applications on cloud and high-performance computing platforms.

Key Responsibilities:
  • Lead the design, development, and implementation of AI/ML models to process and analyze large geospatial datasets.
  • Create and use advanced machine learning algorithms to extract meaningful insights and patterns from geospatial data.
  • 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:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field and 12+ years of prior 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 such as AWS, Azure, or Google Cloud.
  • Familiarity with Agile DevSecOps practices and tools like Jenkins, Docker, and Kubernetes.
  • Possess strong analytical and problem-solving abilities to troubleshoot complex technical issues and design effective solutions.
  • Possess effective communication and collaboration skills to work with Customers and cross-functional teams.
  • Must be able to prioritize tasks effectively, manage deadlines, and handle multiple projects simultaneously.
  • Excellent organizational skills and keen attention to detail.
  • Enthusiasm for learning and adapting to new technologies and methodologies.
  • US citizenship with a Secret clearance and ability to obtain a Top Secret clearance.

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