Machine learning engineer

3 weeks ago


Pune, India TAC Security Full time

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.g., Tensor Flow, Py Torch, 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.



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