Job Description : Responsibilities :
- Develop, train, and deploy state-of-the-art Generative AI and NLP models to enhance AI-driven security solutions.
- Design and optimize AI-Copilot models that assist users in formulating security policies, detecting threats,
and responding to risks using natural language.
Build scalable and production-ready ML pipelines for handling large-scale structured and unstructured security data.Work on NLP-based classification, summarization, and anomaly detection algorithms to improve data security insights.Develop AI-driven automation and intelligent workflows that help organizations enforce robust securitypolicies.
Collaborate with Data Engineers, Security Experts, and DevOps teams to integrate ML models into production environments.This role offers the chance to work on cutting-edge technologies, drive impactful solutions, and be a pivotal part of a company that is transforming the data security market.Requirements Expertise :
Generative AI : Experience with LLMs (GPT, Llama, Claude, or similar) and fine-tuning pre-trained models for security use cases.AI-Copilot Development : Familiarity with building AI-assistants or AI-driven copilots for enterprise applications.NLP & Deep Learning : Strong expertise in transformer models (BERT, T5 Llama, etc. ), text classification, summarization, and Named Entity Recognition (NER).ML Frameworks : Proficiency in TensorFlow, PyTorch, Hugging Face, LangChain, or OpenAI APIs.Data Processing & Feature Engineering : Experience handling large-scale datasets using Spark, Dask, or Pandas.ML Deployment & MLOps : Hands-on experience with MLflow, Docker, Kubernetes, and cloud-based AI services (AWS Sagemaker, Azure AI, GCP Vertex AI).Programming Languages : Proficiency in Python and familiarity with SQL for data querying.Mindset : Entrepreneurial spirit with a "get-things-done" attitude and a commitment to delivering high quality solutions.Comfortable working in an unstructured, fast-paced startup environment.Passion for solving complex problems and driving innovation in a high-growth company.ref : hirist.tech)