#### Job Summary:
Palisade Technologies Ltd is seeking a highly skilled Machine Learning Engineer to develop AI-powered cybersecurity solutions. This role is crucial for building an anomaly detection and vulnerability assessment system as part of our Phase 1 development. The ideal candidate will have experience in deep learning, neural networks, and cybersecurity applications.

#### Key Responsibilities:
- Develop and optimize ML models for anomaly detection, vulnerability assessment, and pattern recognition.
- Implement and train neural networks (CNNs, RNNs) for cybersecurity applications.
- Work with Python, C++, and ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
- Deploy ML models on cloud platforms (AWS, NVIDIA, Azure) with a focus on security integration.
- Collaborate with cybersecurity experts to integrate AI solutions into security assessment systems.
- Ensure model scalability, efficiency, and real-time processing capabilities.

#### Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Machine Learning, Data Science, Computer Science, or related field.
- Strong experience in anomaly detection, deep learning, and neural networks.
- Proficiency in Python, C++, TensorFlow, PyTorch, Scikit-Learn.
- Knowledge of cybersecurity fundamentals, vulnerability detection, and breach assessment systems.
- Experience working with cloud computing and containerization (Docker, Kubernetes).
- Fluent English, excellent problem-solving skills, and ability to sign an NDA