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Tier-1 brand, remote role, mid-level title, and metro location drive high competition.
Deep GenAI, LLM and NLP specialization yields high domain specificity and limited cross-industry transferability.
Explicit 5–8 years requirement plus mandatory GenAI/LLM frameworks and cloud skills makes screening stringent.
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Lead design, development, testing, and deployment of state-of-the-art machine learning models focusing on language models and Generative AI solutions.
Translate business problems into AI/ML solutions, including data collection, feature engineering, modeling, and exploratory analysis.
Collaborate with research and partners to deliver end-to-end AI/ML/NLP products like Conversational AI and document understanding, while also developing reusable tools and pipelines.
5 to 8 years of experience as Data Scientist or GenAI specialist with 2 to 3 years in Generative AI solution development.
Proven expertise with LLMs (Open and Closed source), Prompt Engineering, RAG, fine-tuning techniques (PEFT, LoRA, QLoRA).
Proficiency with Python, R, ML frameworks (Tensorflow, PyTorch), NLP libraries (SpaCy, NLTK, Gensim) and knowledge of cloud platforms (Azure, GCP, AWS).
Bachelor's degree in BE, BTech, MCA, or PhD; prior domain experience in Mobility or Healthcare is a plus but not mandatory.
Experienced in independently leading AI/ML projects and guiding team members with strong technical direction.
Well-versed in advanced NLP tasks and frameworks with hands-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen.
Able to convert data insights into actionable business recommendations and communicate effectively across organizational levels.