Assistant Principal Engineer, Cybersecurity, GEC

We are seeking a highly skilled and motivated AI and Machine Learning Developer with expertise in the cybersecurity domain to join our dynamic team. As an AI and Machine Learning Developer, you will be responsible for translating requirements into innovative and viable solutions, with a particular focus on cybersecurity applications. This role involves working with front-end and back-end codes, as well as utilizing a myriad of cutting-edge tools for development in AI, machine learning, and cybersecurity

Key Responsibilities:

•            Translate requirements into practical and effective solutions using  AI, machine learning, cybersecurity and deployment technologies.

•            Collaborate with cross-functional teams to integrate and develop code from various sources, ensuring the utmost security and privacy.

•            Stay up to date with the latest advancements in AI, machine learning, and cybersecurity to ensure the use of state-of-the-art techniques.

•            Conduct thorough testing and debugging to ensure the quality, security, and reliability of developed solutions.

•            Optimize code performance to enhance efficiency and scalability while maintaining the highest cybersecurity standards.

•            Document code and processes for future reference and knowledge sharing.

Requirements:

•            Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree is a plus.

•            Strong proficiency in front-end and back-end coding languages, such as Python, Java, JavaScript, or C++.

•            Solid understanding of AI and machine learning principles and algorithms.

•            Familiarity with cybersecurity concepts, protocols, and best practices.

•            Experience with frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.

•            Knowledge of cybersecurity tools and technologies, such as intrusion detection systems, vulnerability assessment tools, and encryption techniques.

•            Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.

•            Ability to work collaboratively in a team environment, as well as independently.

•            Strong problem-solving skills and attention to detail.

•            Excellent communication and interpersonal skills.