NASSCOM Campus, Sector 126, Noida, NCR

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

AI/ML & Cybersecurity Innovation

- 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.

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.
- Valuable understanding of machine learning algorithms, data pipelines, and model evaluation.
- Excellent communication skills for technical and stakeholder engagement.

Preferred Skills

- Exposure to generative AI, LLMs, and chain-of-thought reasoning techniques.
- Working knowledge of MLOps tools such as MLflow, Docker, etc.
- Familiarity with FastAPI or Flask for API development.
- Ability to preprocess, clean, and analyze large datasets efficiently.
- Experience in integrating AI tools with legacy or existing security systems.

Technologies & Frameworks

- LLM Frameworks: LangChain, LlamaIndex
- Multi-agent Systems: AutoGen, CrewAI
- Vector Databases: FAISS, Pinecone, Qdrant, Elasticsearch, AstraDB
- MLOps Tools: MLflow, Docker
- Programming & APIs: Python, FastAPI/Flask
- Data Validation: Pydantic

Apply Here

📌 AI/ML Engineer (Delhi)
🏢 Data Security Council of India
📍 Delhi