Entry Level Artificial Intelligence Testing Jobs

Company Overview:

SCATR – THE DATA CAMOUFLAGE COMPANY™

Born from warfighter requirements and inspired by the animal kingdom’s natural defense mechanisms, we developed patented, quantum-resistant Data Camouflage™ technology for data in motion—safeguarding enterprises and the individuals who depend on them.

The STUN™ security platform empowers organizations to proactively secure data in motion across untrusted networks, providing data obfuscation, resiliency, and quantum-proof security. Our patented, quantum-resistant Data Camouflage™ technology allows enterprises to secure their data in motion across the world’s most hostile environments, addressing a critical gap in Zero Trust security architectures that often focus on protecting data at rest (ZTN) and data in use (ZTNA).

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and Equinix to enhance our placement and access, offering true edge to enterprise solutions.

SCATR is Zero Trust Transit™ security for data in motion.

Job Overview:

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining high-performance AI and machine learning models and algorithms, ensuring its compatibility and optimization across diverse software deployments. This role involves working closely with software engineers and other stakeholders to build intelligent systems that enhance our business operations and product offerings.  The ideal candidate will have a strong background in AI, machine learning and data science, with experience in deploying AI solutions in a production environment.

Responsibilities:

• 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.

Why SCATR?

• 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.

Preferred 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.