Back
Strong employer brand, popular GenAI role, and metro location increase applicant competition.
Advanced GenAI and model fine-tuning skills are transferable across industries but require ML domain expertise.
Explicit 8–13 years plus mandatory GenAI, LLM, and ML frameworks make filters highly stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage AI/ML projects, focusing on generative AI applications including large language models and chatbot development.
Implement and optimize retrieval-augmented generation (RAG) strategies and utilize AI frameworks like LangFlow and LangChain.
Collaborate with cross-functional teams to deploy scalable AI solutions leveraging advanced statistical, deep learning, and NLP techniques.
8-13 years of work experience in data science or AI/ML roles.
Degree required: Bachelor or Master of Engineering (BE, B.Tech, M.Tech).
Technical expertise in generative AI design and development, RAG, vector databases, LangChain, AI model fine-tuning (GPT, LLaMA, Claude), PyTorch, TensorFlow, SQL, and Python/R.
Experience deploying and optimizing AI applications in production environments.
Experienced in managing end-to-end AI/ML projects with a strong focus on generative AI and large language models.
Skilled in modern AI development tools and frameworks including LangFlow, LangChain, and AI coding assistants.
Capable of working in hybrid setups collaborating across functions to deliver innovative AI-driven business solutions.