• Develop and apply inference and generative AI models to analyze cybersecurity data (logs, alerts, and events).
• Collaborate with the cybersecurity team to identify use cases for AI-driven insights and predictions.
• Build POCs to validate ideas and demonstrate the potential of AI-based solutions.
• Design, train, test, and fine-tune machine learning and generative models for anomaly detection, summarization, and predictive insights.
• Implement and maintain data ingestion and preprocessing pipelines for security-related datasets.
• Deploy AI models into production using MLOps frameworks and ensure scalability and monitoring.
• Work cross-functionally with data engineers, analysts, and security professionals to deliver AI-powered tools and dashboards.
• Continuously explore and integrate latest AI/ML and GenAI frameworks to enhance cybersecurity capabilities.
Required Skills and Experience:
• Minimum 4 years in AI/ML engineering, with exposure to inference and generative models.
• Experience in model development, training, fine-tuning, and inference using PyTorch, TensorFlow, or Hugging Face Transformers
• Familiarity with OpenAI API, LangChain, LlamaIndex, or similar GenAI frameworks
• Hands-on experience with data ingestion, processing, and ETL pipelines.
• Strong understanding of Docker, Kubernetes, MLflow, AWS SageMaker, or Azure ML.
• Proficiency in Python and experience with data libraries like Pandas, NumPy, and Scikit-learn.
• Problem-solving mindset, innovation-driven, and strong analytical thinking
Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.
