
AI/ML Specialist with Cybersecurity - Lead
- Gurgaon, Haryana
- Rs. 10,000 per month
- Permanent
- Full-time
- 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.
- 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
- Bachelor’s 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.