AI/ML Engineer

Job Title: AI/ML Engineer Company: DATA SECURITY COUNCIL OF INDIA Job Category: Machine Learning Roles & Responsibilities: #### About the Role We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R\&D initiatives in cybersecurity. The ideal candidate will possess hands\-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement. #### Key Responsibilities * Support R\&D efforts to prototype generative AI models for real\-time threat detection and cybersecurity. * Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. * Research and implement novel AI approaches, including multi\-agent and reasoning\-based systems. * Develop distributed security monitoring frameworks using tools like AutoGen, CrewAI, etc. * Build LLM\-powered threat analysis tools using LangChain, LlamaIndex, and integrate with enterprise infrastructure. * Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. * Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG\-based systems. * Create synthetic datasets for AI training and model evaluation. * Use Pydantic for data validation within AI pipelines. * Conduct technical research, proof of concepts (PoCs) and experimentation on emerging AI/ML use cases. * Identify opportunities to leverage AI/ML for solving complex problems, including potential applications in cybersecurity and data security. * Document model architectures, methodologies, experiments, results and technical findings. Work Location: DL, India Availability: Full time

Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field. * 3\-5 years of hands\-on experience in AI/ML model development and deployment. * Strong programming expertise in Python. * Familiarity with LangChain, LlamaIndex, and large language models (LLMs). * Experience in applying AI to cybersecurity or vulnerability analysis. * Good understanding of machine learning algorithms, data pipelines, and model evaluation. * Excellent communication skills for technical and stakeholder engagement. Key Skills: Machine Learning, Python Salary: Not disclosed