
11 - 50 employees
🔒 Cybersecurity
🏛️ Government
Cybersecurity • Government
SCATR is a company that develops patented, quantum-resistant Data Camouflage™ technology and the STUN™ security platform to protect data in motion across untrusted networks. Born from warfighter requirements, SCATR provides Zero Trust Transit™ security using adaptive data obfuscation, dynamic multi-path routing, protocol switching, AI-enhanced packet insights, and quantum-proof encryption to secure enterprise and government communications and resilient global connectivity.
🕒 October 24, 2025
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🔒 Cybersecurity
🏛️ Government
Cybersecurity • Government
SCATR is a company that develops patented, quantum-resistant Data Camouflage™ technology and the STUN™ security platform to protect data in motion across untrusted networks. Born from warfighter requirements, SCATR provides Zero Trust Transit™ security using adaptive data obfuscation, dynamic multi-path routing, protocol switching, AI-enhanced packet insights, and quantum-proof encryption to secure enterprise and government communications and resilient global connectivity.
• Design, develop and maintain AI and ML Models and algorithms using the latest technologies and best practices. • Collaborate with cross-functional teams, including product management and UI/UX design, to gather requirements and ensure the successful implementation of AI-driven features. • Optimize and fine-tune models for performance, accuracy and scalability. • Deploy AI models, processes, and systems for knowledge sharing and reproducibility. • Translate business requirements into technical designs and code implementations, ensuring the delivery of high-quality software solutions. • Write efficient and maintainable code that meets the project's functional and performance requirements. • Conduct thorough testing and debugging of applications to ensure software quality and reliability. • Work closely with Quality Assurance teams to identify and fix software defects and inconsistencies. • Stay updated with the latest industry trends, technologies and best practices for AI-enabled software development. • Participate in code reviews, provide constructive feedback and continuously seek opportunities for codebase improvement. • Collaborate with the DevOps team to automate build, deployment and testing processes. • Assist in providing timely resolution of customer-reported issues.
• Bachelor’s or Master’s degree in computer science, Data Science, Artificial Intelligence, or a related field • Proven experience as an AI engineer, machine learning engineer, or similar role • Strong understanding of machine learning algorithms, neural networks, and deep learning • Proficiency in programming languages such as Python, R, C++, or Java • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Caffe, Keras, or similar • Knowledge of data preprocessing techniques and tools. • Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI models • Networking fundamentals (e.g. common protocols, network structures, etc.) • Experience with source control tools (e.g., Git) and project management systems. • Familiarity with Agile software development practices and the ability to work in a collaborative team environment. • Excellent problem-solving and analytical skills, with a keen eye for detail. • Strong communication and teamwork skills, with the ability to effectively collaborate with both technical and non-technical stakeholders. • Ability to work in a fast-paced, dynamic environment and quickly adapt to changing priorities and project needs.
• Innovative Technology: Work with cutting-edge technologies that are transforming data security. • Collaboration & Growth: Join a dynamic team where your contributions directly impact global organizations' ability to secure their data in motion. • Competitive Benefits: We offer a comprehensive benefits package, flexible working hours and the opportunity to work on impactful projects.
Apply Now🕒 October 22, 2025
AI Engineer responsible for evolving Qu’s brain service, focusing on LLM systems and real-time communications. Engaging in multi-agent orchestration and RAG engineering while ensuring high standards of reliability.
Python
React
🕒 October 21, 2025
AI Engineer focusing on productizing new AI-powered capabilities, evaluating model performance, and implementing strong testing practices in a remote role.
Cloud
Python
🕒 October 5, 2025
AI Architect responsible for designing and delivering AI solutions at Stride, Inc. Leading a team to develop innovative machine learning models for enterprise-wide impact.
AWS
Azure
Docker
Kubernetes
Python
PyTorch
Scikit-Learn
Tensorflow
Terraform
🕒 September 26, 2025
Senior AI Engineer building agentic, generative, and predictive AI solutions using DataRobot. Client-facing role delivering scalable production deployments and MLOps guidance.
AWS
Azure
Cloud
Docker
Flask
Google Cloud Platform
Kubernetes
Numpy
Pandas
Python
Scikit-Learn
🕒 September 17, 2025
Lead 0→1 and scale AI capabilities; build RAG, retrieval, and production APIs for Optimal Dynamics' logistics planning platform.
AWS
Cloud
Python