Technology Associate

As a Tech Associate in AI & GenAI, you’ll work directly with clients and cross-functional teams to design, prototype, implement AI-powered solutions and research-driven innovation. You’ll help translate business challenges into working models, leveraging Generative AI, large language models (LLMs), and traditional machine learning. This is a dynamic role, and you’ll need to be adaptable, client-focused, and comfortable working across industries and use cases while staying deeply engaged with the latest research trends and emerging AI practices. Ability to run developer sessions by training upcoming AI and GenAI Developers.


Job Details
Location, Department Unit and Reporting
Location: Bangalore

Department: Nasscom AI

Reporting To: Director

Basic Functions/ Job Responsibility
Partner with clients to understand business requirements and identify AI/ML and Generative AI opportunities.
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).
Write clean and modular code, ensuring high quality and scalability.
Assist with data wrangling, feature engineering, model training, and fine-tuning.
Prepare technical documentation and communicate findings and recommendations clearly to both technical and non-technical stakeholders.
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.
Knowledge, Skills, Qualifications, Experience
Bachelor’s or Master degree in Computer Science, AI, Data Science, or related discipline
1–2 years of hands-on experience with AI/ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face Transformers, LangChain)
Strong proficiency in Python; familiarity with version control (Git) and collaborative development processes
Exposure to REST APIs, data processing tools, and cloud platforms is a plus
Ability to explain technical concepts clearly to a diverse audience - clients, business users, and developers
Proven research background: prior publications, academic collaboration, R&D, or prototyping new AI methods
Excellent problem-solving and analytical skills with a proactive, consulting-oriented mindset