AI/ML Engineer

ECS Corporate Services, LLC
King George, United States of America
yesterday

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

King George, United States of America

Tech stack

Java
Artificial Intelligence
Data analysis
Application Lifecycle Management
Software Applications
Azure
Business Software
C Sharp (Programming Language)
Cloud Computing
Cloud Engineering
Computer Security
Databases
Continuous Integration
Information Engineering
ETL
Software Debugging
Distributed Computing Environment
Identity and Access Management
Python
Machine Learning
NoSQL
Object-Oriented Software Development
Scrum
Azure
Software Engineering
Software Requirements Analysis
SQL Databases
Data Streaming
Enterprise Software Applications
Test Scripts
Gitlab
GIT
Containerization
Modeling and Simulation
Machine Learning Operations
Api Design
Cyber Warfare

Job description

The AI/ML Software Engineer will be part of a team of experts charged with providing support in the areas of cyber analysis and cyber development capabilities in response to Navy's and DoD's needs for Cyber Situational Awareness (SA), Cyber Command and Control (C2), Mission Assurance, and Homeland Defense. Program scope includes identifying cyber key terrain by analyzing operational requirements, conducting cyber analyses and assessments, and developing and performing modeling and simulation in support of different cyber threat scenarios. Additionally, program support includes developing methodology and framework in support of cyber risk assessment life cycle. Our team will provide capabilities to support the customer with rapid design, development, test, deployment, maintenance and operation of specific software and hardware capabilities to meet current Cyber Defensive needs. As a Senior Developer on this program, you will be tasked with implementing new features within a critical line of business application that support mission assurance and operational management functions., As an AI/ML Software Engineer on this program, you will use your expertise and experience in the following areas and activities to deliver solutions and services to our customer:

  • 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 & definition, system design, implementation, testing, deployment, and sustainment
  • Participating in activities that ensure the successful use of these systems including developing documentation, test scripts, and training materials
  • Working in an agile team environment participating in sprint planning, retrospectives, reviews, and daily standups

You will have the opportunity to work and grow your expertise with a team of software engineering and cyber security experts working to tackle the cyber defense issues of the modern military with creative and innovative solutions. Required Qualifications/Skills

Requirements

  • S. Citizenship Active or Interim DoD SECRET clearance with 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 that includes 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 with designing, implementing, supporting, and analyzing enterprise-scale applications that Extract/Transform/Load (ETL systems, data streaming, and distributed data processing technologies or frameworks)
  • Strong database and infrastructure experience with both SQL and NoSQL databases, cloud platforms (Azure), and containerization technologies
  • Experience developing custom visualization solutions for data analysis, monitoring dashboards and reporting interfaces
  • Comprehensive knowledge in definition and management of software requirements, design, code, benchmark testing, debugging, software development lifecycle, architecture, and documentation.
  • Experience with and proficient with at least one of the following Object-oriented programming (OOP) languages: C#, Java, or Python.
  • Experience with ML engineering:
  • MLOps and model lifecycle management
  • Cloud-native ML platform development
  • API design and integration for ML services

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