AI/ML Specialist with Cybersecurity

4.0 - 5.0 years

13.0 - 17.0 Lacs P.A.

Gurugram

Posted:1 week ago| Platform: Naukri logo

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Skills Required

UsageNetworkingcyber securityNeural networksMachine learningNetwork securityWellnessNatural language processingPredictive modelingBusiness solutions

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Description: Develop machine learning models for cyber security and networking domain. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Should be self-starter and produce impactful outcomes in a start-up environment. Open for technical challenges & hunger for growth Mine and analyze data from company databases to drive optimization and improvement of product development. Develop custom data models and algorithms to apply to data sets. Use predictive modelling to increase and optimize customer experiences, revenue generation. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Key Responsibilities: Lead and manage a cross-functional team of engineers and data scientists in the re-engineering of our network security and management products using AI-driven solutions Collaborate with product managers and stakeholders to define project goals, objectives, and deliverables Architect, design, and implement cutting-edge AI solutions to enhance network security, optimize management processes, and improve product performance Oversee the development and deployment of AI models, algorithms, and data pipelines while ensuring scalability, reliability, and security Communicate progress, challenges, and solutions effectively to senior management and stakeholders Requirements Qualifications : Bachelor\u2019s degree in Engineering with 4 to 5 years of experience in AI/ML Experience working with machine learning models for threat intelligence, anomaly detection Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Should be proficient in TensorFlow, PyTorch, Keras and Natural Language Processing (NLP) is essential. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Benefits Our Benefits Include: Health Insurance, Performance-Based Bonuses (For Specific Roles), Wellness Programs \u2013 Access to mental health support, meditation sessions, and ergonomic workspaces to ensure a healthy and productive work environment, Team Lunches & Celebrations \u2013 Regular team lunches, parties, and win celebrations to foster a collaborative and fun work culture.

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