Description

You will lead the development and deployment of machine learning solutions for anomaly detection and security contexts. This role is on-site.

Responsibilities

• Design and implement machine learning models for anomaly detection.
• Apply ML algorithms to solve time series and classification problems.
• Develop and refine models using Python and deep learning frameworks.
• Translate complex technical findings into clear communication for stakeholders.

Required Skills

• 5+ years of professional experience in AI/ML.
• Expert proficiency in Python programming.
• Hands-on experience with TensorFlow and PyTorch.
• Strong knowledge of core ML algorithms including clustering, decision trees, and neural networks.
• Solid understanding of statistical principles such as regression and distribution properties.
• Proven experience applying ML in a threat intelligence or security context.
• Experience with anomaly detection techniques.

Preferred Skills

• Exposure to cybersecurity, NetFlow, or DNS datasets.
• Familiarity with NLP concepts.

Key Skills

Education

Any Graduate