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Company

Leidos · 10 hours ago

AIML Software Engineer Geospatial

United States

Contract

Remote

Entry Level

$85K/yr - $154K/yr

4+ years exp

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ComputerGovernment

Actively Hiring

No H1B

U.S. Citizen Only

Security Clearance Required

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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 (imagery, signals, video) 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

Assists 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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML engineeringGeospatial data processingCloud platformsPythonAgile DevSecOpsMLOps practicesGIS toolsMachine learning frameworks

Required

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 4+ 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