Back
Tier-1 brand, metro location, and mid-level generalist title with in-demand GenAI skills increase competition.
Advanced LLM and ML skills transfer across industries, but domain expertise matters, so medium sensitivity.
Explicit years requirement, mandatory GenAI/LLM tooling, and cloud experience make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, testing, and deployment of Machine Learning models with emphasis on language models and Generative AI solutions.
Own end-to-end AI/ML/NLP projects including Conversational AI, document understanding, and QnA by collaborating with research teams and external partners.
Extract actionable business insights via data mining and statistical analysis to inform product and business decisions; develop reusable tools and modelling pipelines.
5 to 8 years of experience as Data Scientist or GenAI specialist with 2 to 3 years specifically in Generative AI solutions.
Strong expertise in LLM technologies (Open and Closed source), prompt engineering, RAG, PEFT finetuning, and GenAI frameworks like LlamaIndex, Langchain, Autogen.
Proficient in Python, R, TensorFlow, PyTorch, NLP libraries (SpaCy, NLTK, CoreNLP), and experience with cloud platforms (Azure, GCP, AWS).
Bachelor's degree in Engineering, Technology, or MCA; PhD is also accepted.
Demonstrated ability to independently lead AI/ML projects and provide technical direction to team members.
Deep hands-on experience with advanced NLP and Generative AI models and ability to translate business problems into AI solutions.
Experience with mobility or healthcare domains is preferred though not mandatory.