Overview
Remote
USD 85,150.00 - 153,925.00 per year
Full Time
Skills
Logistics
Security operations
SSD
Research
High performance computing
Reasoning
CGI
Video
Evaluation
Performance Metrics
Machine Learning Operations (ML Ops)
Version control
Automated testing
Continuous Integration and Development
Continuous integration
Knowledge sharing
Analytics
Technical writing
Presentations
Data processing
Regulatory Compliance
Data security
Computer science
Data Science
Artificial intelligence
FOCUS
Programming languages
Python
R
Java
Cloud computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
DevSecOps
Jenkins
Docker
Kubernetes
Analytical skill
Problem solving
Effective communication
Collaboration
Organizational Skills
Attention to detail
Multitasking
Geographic information system
GDAL
PostGIS
ArcGIS
QGIS
Geospatial analysis
Information retrieval
International relations
Investor relations
SAR
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Agile
Scrum
Management
JIRA
Confluence
Market analysis
Law
Job Details
Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers' mission to defend against evolving threats around the world.
Our team's focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.
The Spatial Solutions Division (SSD), part of the Decision Advantage Solutions Business Area, is currently seeking a Junior AIML Software Engineer. As a AIML Software Engineer you will be required to develop solutions that are highly innovative and achieved through research and integration of industry best practices. The ideal candidate will have experience working with geospatial data in an agile DevSecOps environment. You will collaborate closely with senior engineers and technical leaders to process and analyze geospatial datasets and contribute to the development and deployment of AI/ML models and applications on cloud and high-performance computing platforms. You will influence development of solutions that impact strategic project/program goals and business results. You will resolve highly complex problems using significant application of technical knowledge, conceptualizing, reasoning and interpretation. You will interact daily with various technical resources across different vendors which are fulfilling technical requirements for the customer. This role offers the opportunity to make significant contributions to our projects and gain hands-on experience in a cutting-edge technology environment.
Primary 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
Basic Qualifications:
ship 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
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).
Original Posting Date:
2024-11-07
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $85,150.00 - $153,925.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Our team's focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.
The Spatial Solutions Division (SSD), part of the Decision Advantage Solutions Business Area, is currently seeking a Junior AIML Software Engineer. As a AIML Software Engineer you will be required to develop solutions that are highly innovative and achieved through research and integration of industry best practices. The ideal candidate will have experience working with geospatial data in an agile DevSecOps environment. You will collaborate closely with senior engineers and technical leaders to process and analyze geospatial datasets and contribute to the development and deployment of AI/ML models and applications on cloud and high-performance computing platforms. You will influence development of solutions that impact strategic project/program goals and business results. You will resolve highly complex problems using significant application of technical knowledge, conceptualizing, reasoning and interpretation. You will interact daily with various technical resources across different vendors which are fulfilling technical requirements for the customer. This role offers the opportunity to make significant contributions to our projects and gain hands-on experience in a cutting-edge technology environment.
Primary 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
Basic Qualifications:
ship 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
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).
Original Posting Date:
2024-11-07
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $85,150.00 - $153,925.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.