Engineer, AI Engineer (Applied​/Software)

Salary Range: $ To $ Annually

As an Engineer in the Information industry, you will play a pivotal role in designing and implementing advanced systems that leverage Artificial Neural Networks to solve complex problems. Your work will directly contribute to the development of innovative solutions that enhance operational efficiency and drive technological advancements. You will collaborate with cross‑functional teams to ensure that systems are robust, scalable, and meet the highest standards of quality.

This position requires a deep understanding of C++ programming to develop and optimize algorithms that power our neural network models. Ultimately, your contributions will help shape the future of our technology offerings and improve user experiences across various applications.

• Bachelor's degree in Engineering, Computer Science, or a related field.
• Proven experience in developing applications using C++.
• Strong understanding of Artificial Neural Networks and their applications in systems engineering.

• Master's degree in a relevant field.
• Experience with machine learning frameworks such as Tensor Flow or PyTorch.
• Familiarity with software development methodologies and tools.

• Design, develop, and implement algorithms using Artificial Neural Networks to address specific engineering challenges.
• Write and maintain high‑quality C++ code to support system functionalities and performance optimization.
• Collaborate with software developers, data scientists, and other engineers to integrate neural network solutions into existing systems.
• Conduct system testing and validation to ensure reliability and accuracy of the implemented solutions.
• Document technical specifications and provide training to team members on new technologies and methodologies.

The required skills in Artificial Neural Networks will be utilized daily to create models that can learn from data and improve over time, ensuring that our systems remain cutting‑edge. Proficiency in C++ is essential for writing efficient code that can handle complex computations and large datasets, which is a core part of our engineering processes. Systems engineering skills will be applied to integrate various components of our technology stack, ensuring seamless operation and performance.

Additionally, preferred skills such as experience with machine learning frameworks will enhance your ability to implement state‑of‑the‑art solutions. Overall, these skills will enable you to contribute effectively to projects that require innovative thinking and technical expertise.