AI Engineer

As an AI Engineer at COGNNA, you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI & ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time.

Key Responsibilities

• Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities.
• Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems.
• Collaborate with cross-functional teams to integrate AI solutions into our existing products.
• Research and stay updated with the latest trends and advancements in AI technologies.
• Design, test, and deploy AI models using appropriate frameworks and tools.
• Monitor and evaluate the performance of AI systems, implementing improvements as necessary.
• Document processes, algorithms, and model performance for future reference and compliance.
• Mentor junior AI engineers and contribute to team knowledge sharing.

Why Join Us?

Joining COGNNA means being part of a visionary team dedicated to solving some of today’s biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth.

Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world!

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in AI/ML development and deployment.
• Strong proficiency in programming languages such as Python, Java, or R.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.
• Solid understanding of algorithms, data structures, and statistical analysis.
• Familiarity with neural networks and computer vision concepts.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services.
• Proven ability to work collaboratively in a fast-paced environment.
• Excellent problem-solving skills and a passion for innovation.
  What We Value
• • Curiosity and a willingness to learn about new AI technologies.
  • A proactive mindset that embraces challenge and creative problem-solving.
  • Strong communication skills to convey complex ideas clearly and effectively.