Cyber Security Independent Unit
Job Description
We are seeking Machine Learning Developers for a high-security defense project. The role involves designing, developing, and deploying machine learning models to enhance defense intelligence, surveillance, and cybersecurity systems. Developers will work with sensitive datasets, optimize algorithms, and collaborate with multidisciplinary teams to deliver reliable, real-time solutions. Applicants must demonstrate innovation, security-focused development practices, and strong analytical expertise to contribute toward national defense technology advancements.
Key Responsibilities
- Design, develop, and deploy scalable machine learning defense applications.
- Analyze large defense datasets ensuring accuracy, integrity, and confidentiality.
- Optimize algorithms for real-time performance and mission-critical deployments.
- Collaborate with defense engineers, analysts, and cybersecurity professionals seamlessly.
- Implement AI-driven solutions for surveillance, detection, and predictive modeling.
- Ensure compliance with defense security protocols and project confidentiality requirements.
- Conduct testing, validation, and fine-tuning of deployed ML models.
- Document processes, research findings, and present insights to defense teams.
Skill & Experience
- Proficiency in Python, TensorFlow, PyTorch, and machine learning frameworks.
- Strong knowledge of algorithms, statistics, and deep learning architectures.
- Ability to handle sensitive defense datasets with strict confidentiality.
- Expertise in data preprocessing, feature engineering, and model optimization.
- Problem-solving mindset with analytical thinking under high-pressure defense environments.
- Familiarity with cybersecurity concepts, encryption, and secure coding practices.
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