AI Lead - Generative AI

4 - 6 years

16 - 20 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview

We are seeking a visionary and hands-on AI Lead Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You ll lead initiatives involving LLMs, RAG pipelines, multimodal models, and more, shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you ll work closely with the Founders, Product, and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India s senior leadership.

Key Responsibilities

Strategy & Leadership:


  • Define and execute the Generative AI roadmap aligned with business goals

  • Build and lead a team of ML engineers, data scientists, and AI researchers

  • Partner with Product, Design, and Tech teams for scalable AI integration


Technical Execution:


  • Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, DiUusion, RAG)

  • Optimize model performance, latency, and cost in production environments

  • Implement MLOps pipelines for training, deployment, monitoring, and iteration


Research & Innovation:


  • Stay updated with cutting-edge developments in generative and multimodal AI

  • Experiment with open-source and proprietary models; contribute to patents/publications

  • Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups


Governance & Ethics:


  • Ensure AI systems are built with fairness, explainability, and ethical best practices

  • Maintain compliance with data privacy laws and responsible AI principles


Required Skills & Qualifications


  • Master s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline

  • Strong understanding of Transformers, GANs, VAEs, DiUusion Models

  • Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs

  • Proven experience in training or fine-tuning large-scale LLMs or foundation models

  • Hands-on MLOps experience in model deployment and scaling

  • Strong problem-solving skills and product-oriented mindset


Preferred Qualifications


  • Experience with Retrieval-Augmented Generation (RAG) or agent-based systems

  • Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures

  • Contributions to open-source projects or AI research communities


Additional Information:

Engagement Type: Full-Time

Experience Required: 4 6 Years

Department: Artificial Intelligence


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