NASSCOM Campus, Sector 126, Noida, NCR Job Description Anticipate technology policy changes and their implications for DSCI membership base and the digital economy in the country; develop and implement strategic advocacy plan to enable favourable outcomes from such policies and to pre-empt adverse regulatory outcomes. Undertake qualitative research on nuanced public policy issues pertaining to data governance, artificial intelligence, cybersecurity, and frontier technologies as part of research projects and to inform DSCI submissions to Government in policy consultations Lead industry-wide consultations across sectors to inform DSCI’s submissions to Government and Regulators on public policy issues. Distil industry views, assess business impact and develop alternative policy interventions as part of DSCI’s policy submissions Establish and maintain active relationships with stakeholders in the privacy and policy ecosystem- including with DPOs, CISOs, Legal and Regulatory experts, Researchers, Academia, Startups, Sectoral Regulators such as SEBI, RBI, IRDAI, Government Departments and Ministries such as MeitY. Represent DSCI at industry forums, policy discussions, conferences, etc. and engage with the ecosystem to advocate for DSCI’s policy stances Cross-functional collaboration with DSCI’s membership, communications, and events teams for privacy capacity building of the Indian industry and for hosting policy discussion events as part of DSCI’s flagship events Identify opportunities for revenue generation through ecosystem partnerships and engagements on thought leadership such as research reports, white papers, curated policy dialogues, etc. Core Competencies Technical Knowledge: Strong understanding and curiosity to dive deep into technical nuances of data governance, cloud computing, artificial intelligence, internet governance, information technology landscape, digital payments ecosystem, cybersecurity best practices, etc. Analytical Thinking and Problem-Solving Mindset: Capacity to understand nuances of different industry sectors’ nuances across DSCI’s membership base, analyse policy impacts, and contribute to capacity building initiatives catered to facilitate organisations strategise and implement data protection controls. Communication Skills: Excellent written and verbal communication abilities to contribute to research initiatives, drafting of proposals, feedback to Government ministries and departments on policy consultations, and to excel at engagements requiring a high-degree of cross-functional collaboration. Self-Reliance: Self-starter with the ability to lead projects independently, making informed decisions, and providing evidence-based guidance on best practices to industry ecosystem. Stakeholder Engagement: Skilled in identifying and mapping relevant external stakeholders for diverse initiatives and maintaining active engagements, including with regulatory bodies, industry partners, and government. Revenue Acumen: Strong ability to gauge timely revenue-generation opportunities through partnerships on policy and privacy related engagements. Creative thinking: Ability to think outside-the-box and identify different avenues for privacy and responsible technology policy advocacy in India and globally. Professional Qualification Requirement LLB/LLM/Master's in Public Policy/B.Tech from a reputed institute 3 to 5 years of experience in public policy matters associated with technology Subject matter expert in the domain of data privacy and conversant with the cyber security domain.

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 and take ownership of TechSagar.in — a knowledge repository for India's emerging technology capabilities. 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 and platform evangelism. 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. TechSagar Product Responsibilities Manage and evolve the TechSagar.in platform—enhancing features, ensuring data integrity, and driving usage. Liaise with tech partners, government bodies, startups, and academia to enrich platform content. Strategize and execute industry engagement plans to market TechSagar and establish its relevance. Represent TechSagar in external forums, conferences, and industry meetings. Collect user feedback, define product roadmap, and ensure alignment with AI/ML advancements. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field. 1–2 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. 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 Why Join Us? Be at the forefront of AI innovation in cybersecurity and national technology initiatives. Lead and shape a strategic tech product (TechSagar) with national impact. Collaborate with thought leaders in the AI, cybersecurity, and emerging tech ecosystem.