Company Overview: SCATR Corp offers the premier Data Camouflage technology solution that enables and masks the data transit of the world’s most demanding organizations. Our solution affords our customers the capability to expand to new markets, serve clients more securely, and achieve operational success. Through obfuscation, our users’ communications, digital assets, and data-in-transit can maneuver through the most contested and untrusted environments with privacy and confidence. 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. The world’s most critical enterprises understand security without obfuscation, offers the adversary a starting point. Only through obfuscation can network owners and users safely traverse today’s digital environment.
Job Overview:
We are seeking an experienced Artificial Intelligence (AI) Engineer to join 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 involved 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 machine learning model and algorithms using the latest development technologies and best practices.
- Collaborate with cross-functional teams, including product management and UI/UX design, to gather requirements and ensure 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 software development and machine learning algorithms.
- 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 troubleshooting issues reported by customers and providing timely resolution.
