Data and AI Associate

Basic Functions/ Job Responsibility

• Industry Advisory & Thought Leadership:
  • Act as a domain expert on data & AI  platforms (cloud, hybrid, on-prem), data lakes, warehouses, mesh, and lakehouses.
  • Advise companies (from startups to small and medium enterprises) on modern data architecture, integration, governance, and tooling.
  • Support sector-specific data strategies (healthcare, BFSI, manufacturing, etc.) through working groups and roundtables.
• Research & Framework Development:
  • Lead development of whitepapers, policy notes, and best practices on data interoperability, privacy-preserving data systems, and AI-ready data infrastructures.
  • Track global benchmarks on data infrastructure and translate insights into actionable frameworks for companies.
• Stakeholder Engagement:
  • Collaborate with government bodies, regulators, and industry leaders to co-develop India’s data economy vision.
  • Engage with ecosystem players—cloud providers, analytics firms, data exchange platforms, startups, and academia.
• Capacity Building:
  • Support NASSCOM’s data & AI skilling and literacy efforts through content, training modules, and evangelism.
  • Mentor industry partners and incubated startups on building scalable and ethical data architectures.

Knowledge, Skills, Qualifications, Experience

• 3 to 5  years of experience 
• Deep understanding of:
  • Modern data platforms (e.g., Snowflake, Databricks, Google BigQuery, AWS Redshift, Azure Synapse)
  • Data integration and pipeline orchestration (e.g., Airflow, dbt, Kafka, Fivetran)
  • Governance and compliance (e.g., data cataloging, lineage, access control, anonymization)
  • Knows using AI models for building products and solutions.
  • Knowledge on choosing right models based on the solution proposed.
  • Knowledge on the AI tools (MCP, Langchain, Langraph) and its integration techniques.
  • Knowledge on AI products, copilots that can be used for better productivity.
• Experience advising or working with cross-functional stakeholders – technical teams, policy makers, and business leaders.
• Knowledge of data standards, India’s data protection laws, and international practices (e.g., GDPR, Open Data).
• Ability to suggest development process, fine-tune, and evaluate AI/ML models and algorithms to fit client needs.
• Build proofs-of-concept (PoCs), prepare demos, and support pilot projects in Generative AI (e.g. chatbots, text/image generation, data extraction).
• Assist with data wrangling, feature engineering, model training, and fine-tuning.
• Stay up to date on AI trends, tools, and frameworks to suggest relevant solutions for clients.
• Engage in knowledge sharing through whitepapers, internal training sessions, or publishing short research findings to maintain thought leadership.
• Assist in training the upcoming AI and GenAI developers during the Nasscom developer sessions.

Preferred Qualifications:

• Experience working in consulting, think tanks, industry bodies, or tech product companies.
• Exposure to industry data challenges in sectors like BFSI, health, retail, or public sector.
• Familiarity with AI/ML platforms and responsible AI frameworks is a strong plus.
• Graduate/Postgraduate degree in Computer Science, Data Science, Engineering, or related field.