Artificial Intelligence Engineer

Job not on LinkedIn

🕒 October 24, 2025

AWS

Azure

Caffe

Cloud

Java

Keras

Python

PyTorch

Scikit-Learn

Tensorflow

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Logo of SCATR

SCATR

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.

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