TAC Security - Machine Learning Engineer - Tensorflow/PyTorch (4-6 yrs)

Job description :

Key Responsibilities :

- Design, develop, and deploy AI/ML models for threat detection, anomaly detection, and incident response automation within the security domain.

- Analyze large volumes of security data to extract actionable insights and identify patterns related to vulnerabilities and threats.

- Collaborate with cross-functional teams, including security analysts and incident response teams, to understand requirements and translate them into effective AI/ML solutions.

- Continuously monitor and refine existing models to adapt to new security challenges and improve accuracy.

- Conduct experiments and evaluations to assess model performance and effectiveness in real-world scenarios.

- Document methodologies, processes, and findings to facilitate knowledge sharing and reproducibility within the team.

- Stay current with industry trends, emerging technologies, and best practices in AI/ML and cybersecurity.

Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.

- Proven experience in developing and implementing machine learning models, particularly in a security context.

- Proficiency in programming languages such as Python or R, and familiarity with machine learning frameworks (e., TensorFlow, PyTorch, Scikit-learn).

- Understanding of cybersecurity principles, threat landscapes, and incident response protocols.

- Experience with data analysis and preprocessing techniques.

- Strong analytical and problem-solving skills, with the ability to work collaboratively in a team environment.