ECS
Overview
ECS is seeking an
AI/ML Software Engineer
to work in our
King George, VA
office. The AI/ML Software Engineer will be part of a team of experts charged with providing support in cyber analysis and cyber development capabilities to meet Navy and DoD needs for Cyber Situational Awareness (SA), Cyber Command and Control (C2), Mission Assurance, and Homeland Defense. The program includes identifying cyber key terrain by analyzing operational requirements, conducting cyber analyses and assessments, and developing and performing modeling and simulation for different cyber threat scenarios. The role supports developing methodology and framework for cyber risk assessment lifecycle and enables rapid design, development, test, deployment, maintenance and operation of software and hardware capabilities to meet current cyber defensive needs. As a Senior Developer on this program, you will implement new features within a critical line of business application that support mission assurance and operational management functions. The Role
As an AI/ML Software Engineer on this program, you will use your expertise to deliver solutions and services to our customer in the following areas and activities: Working from requirements specifications to develop or modify software applications. Designing, coding, benchmark testing, debugging, and documenting application features and changes. Reviewing and assessing existing enterprise applications to support new features, performance improvements, upgrades, and ongoing sustainment. Participating in performance, load, and stress testing, and remediation of issues identified. Participating in security architecture reviews of large enterprise systems. Participating in the development of new systems throughout the entire application lifecycle: requirements analysis and definition, system design, implementation, testing, deployment, and sustainment. Developing documentation, test scripts, and training materials to ensure successful use of these systems. Working in an agile team environment with sprint planning, retrospectives, reviews, and daily standups. You will have the opportunity to grow your expertise with a team of software engineering and cyber security experts tackling cyber defense issues of the modern military with creative and innovative solutions. Required Skills
US Citizenship with Active or Interim DoD SECRET clearance and ability to obtain and maintain a TS/SCI Clearance. DoDD 8140.01 Information Assurance Management (IAM) Level I certification or higher. AI/ML engineering experience designing, developing, and deploying production-scale machine learning systems and infrastructure. ML systems experience in deploying, monitoring, and maintaining ML models. Proficiency with development toolsets such as Git version control, automated testing frameworks, CI/CD pipelines, and GitLab. Data engineering experience designing, implementing, supporting, and analyzing enterprise-scale applications with ETL, data streaming, and distributed data processing technologies. Strong database and infrastructure experience with SQL and NoSQL databases, cloud platforms (Azure), and containerization technologies. Experience developing custom visualization solutions for data analysis, monitoring dashboards, and reporting interfaces. Experience with software requirements definition, design, coding, benchmark testing, debugging, SDLC, architecture, and documentation. Experience with at least one OOP language (C#, Java, or Python). ML engineering experience, including MLOps and model lifecycle management, and cloud-native ML platform development. API design and integration for ML services. Desired Skills
Experience building ML systems for cybersecurity applications (threat detection, anomaly detection, security analytics platforms). Experience working in Azure, preferably Azure Government. Experience on custom development software projects and with DoD customers. Experience on cybersecurity projects. Additional preferred technologies: Kubernetes, Docker, Helm; Kubeflow, MLFlow or custom pipelines; ELK Stack; PowerBI; Apache Jena Fuseki; Apache NiFi; CI/CD pipelines; automated testing tools and processes. EEO
ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law. ECS is a leading mid-sized provider of technology services to the United States Federal Government with 3,500+ employees focused on serving federal agencies and departments.
#J-18808-Ljbffr
ECS is seeking an
AI/ML Software Engineer
to work in our
King George, VA
office. The AI/ML Software Engineer will be part of a team of experts charged with providing support in cyber analysis and cyber development capabilities to meet Navy and DoD needs for Cyber Situational Awareness (SA), Cyber Command and Control (C2), Mission Assurance, and Homeland Defense. The program includes identifying cyber key terrain by analyzing operational requirements, conducting cyber analyses and assessments, and developing and performing modeling and simulation for different cyber threat scenarios. The role supports developing methodology and framework for cyber risk assessment lifecycle and enables rapid design, development, test, deployment, maintenance and operation of software and hardware capabilities to meet current cyber defensive needs. As a Senior Developer on this program, you will implement new features within a critical line of business application that support mission assurance and operational management functions. The Role
As an AI/ML Software Engineer on this program, you will use your expertise to deliver solutions and services to our customer in the following areas and activities: Working from requirements specifications to develop or modify software applications. Designing, coding, benchmark testing, debugging, and documenting application features and changes. Reviewing and assessing existing enterprise applications to support new features, performance improvements, upgrades, and ongoing sustainment. Participating in performance, load, and stress testing, and remediation of issues identified. Participating in security architecture reviews of large enterprise systems. Participating in the development of new systems throughout the entire application lifecycle: requirements analysis and definition, system design, implementation, testing, deployment, and sustainment. Developing documentation, test scripts, and training materials to ensure successful use of these systems. Working in an agile team environment with sprint planning, retrospectives, reviews, and daily standups. You will have the opportunity to grow your expertise with a team of software engineering and cyber security experts tackling cyber defense issues of the modern military with creative and innovative solutions. Required Skills
US Citizenship with Active or Interim DoD SECRET clearance and ability to obtain and maintain a TS/SCI Clearance. DoDD 8140.01 Information Assurance Management (IAM) Level I certification or higher. AI/ML engineering experience designing, developing, and deploying production-scale machine learning systems and infrastructure. ML systems experience in deploying, monitoring, and maintaining ML models. Proficiency with development toolsets such as Git version control, automated testing frameworks, CI/CD pipelines, and GitLab. Data engineering experience designing, implementing, supporting, and analyzing enterprise-scale applications with ETL, data streaming, and distributed data processing technologies. Strong database and infrastructure experience with SQL and NoSQL databases, cloud platforms (Azure), and containerization technologies. Experience developing custom visualization solutions for data analysis, monitoring dashboards, and reporting interfaces. Experience with software requirements definition, design, coding, benchmark testing, debugging, SDLC, architecture, and documentation. Experience with at least one OOP language (C#, Java, or Python). ML engineering experience, including MLOps and model lifecycle management, and cloud-native ML platform development. API design and integration for ML services. Desired Skills
Experience building ML systems for cybersecurity applications (threat detection, anomaly detection, security analytics platforms). Experience working in Azure, preferably Azure Government. Experience on custom development software projects and with DoD customers. Experience on cybersecurity projects. Additional preferred technologies: Kubernetes, Docker, Helm; Kubeflow, MLFlow or custom pipelines; ELK Stack; PowerBI; Apache Jena Fuseki; Apache NiFi; CI/CD pipelines; automated testing tools and processes. EEO
ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law. ECS is a leading mid-sized provider of technology services to the United States Federal Government with 3,500+ employees focused on serving federal agencies and departments.
#J-18808-Ljbffr