3 Data Security Council of India Jobs

Job Overview:

We are seeking a passionate candidate with 1-2 years of relevant work experience in AI/ML to join our team, responsible for developing and implementing AI-driven security solutions and supporting the research team in advanced threat detection projects. This role focuses on developing multi-agent AI systems and implementing large action models for cybersecurity applications, with an emphasis on distributed monitoring and threat detection. This position offers an opportunity to address real-world security challenges by leveraging generative AI applications.

Key Responsibilities:

• Support R&D efforts to innovate and prototype generative AI solutions for real-time security monitoring and advanced cyber threat detection.
• Develop and deploy machine learning models for cyber security applications.
• Research and implement novel approaches in generative AI to enhance cyber security capabilities.
• Design and deploy distributed security monitoring systems and multi-agent frameworks using tools such as AutoGen, CrewAI, etc.
• Develop reasoning-based systems for specialized threat analysis using chain-of-thought methodologies.
• Build LLM-powered security solutions using frameworks like LangChain and LlamaIndex.
• Implement MLOps practices to optimize model deployment, monitoring, etc.
• Optimize vector stores for Retrieval-Augmented Generation (RAG) models to improve latency and scalability when handling large datasets.
• Implement and optimize large language models for complex threat hunting.
• Integrate AI tools and solutions with existing security infrastructure to enhance operational efficiency.
• Contribute to the generation of synthetic datasets for security testing and model training purposes.
• Develop and validate AI models to identify system vulnerabilities and propose risk mitigation strategies.
• Utilize tools like Pydantic for data validation and serialization in AI/ML pipelines.

Required Qualifications:

• Bachelor's/Master's degree in Computer Science, AI, or related field
• 1-2 years of relevant experience in AI/ML
• Strong programming skills in Python
• Experience with AI/ML frameworks, specifically LangChain or LlamaIndex for LLM applications
• Understanding of Machine Learning concepts, algorithms, frameworks
• Strong communication skills
• Experience with developing and testing AI models for vulnerability assessment
• Experience with the integration of AI tools with existing security systems and compliance.

Preferred Skills:

• Understanding of generative AI and large language models.
• Familiarity with MLOps concepts and tools.
• Experience with data preprocessing, cleaning and analysis techniques.
• Strong communication and documentation skills to effectively convey technical concepts and project details.

Technologies and Frameworks:

• LLM Frameworks: LangChain, LlamaIndex
• Multi-agent Frameworks: AutoGen, CrewAI, etc
• Vector Stores: Qdrant, FAISS, Elasticsearch, Pinecone, AstraDB, etc
• MLOps: MLflow, Docker
• Development: Python, FastAPI/Flask
• Data validation : Pydantic