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Tier-1 brand, metro location, mid-level generalist title and 3–6 year band increase applicant competition.
Strong GenAI/LLM focus demands specialized ML skills, but skills remain transferable across industries.
Explicit 5–8 years plus mandatory GenAI/LLM expertise creates strict screening filters.
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Design, develop, test, and deploy machine learning models with a strong focus on generative AI and language models.
Lead AI/ML/NLP projects independently, providing technical direction to team members and interacting with research teams and key partners.
Analyze data to derive product insights and translate analytics into actionable recommendations for business or product improvements.
5 to 8 years of experience as a Data Scientist or Generative AI specialist with 2 to 3 years specifically in Generative AI solution development.
Proven experience with generative AI technologies including open source LLMs (Llama, Gemma, Mixtral) and closed source LLMs (OpenAI GPT, Azure OpenAI, Claude, Gemini).
Hands-on expertise in GenAI frameworks (LlamaIndex, Langchain, Autogen), and knowledge of cloud services like Azure, GCP, or AWS.
Strong programming skills in Python, R, Tensorflow, Keras, PyTorch, and NLP libraries (OpenNLP, CoreNLP, NLTK, SpaCy, Gensim) required.
Experienced in managing end-to-end AI/ML projects with a focus on generative AI, able to lead and provide technical direction.
Strong practical knowledge of LLMs and associated technologies like RAG, VectorDB, Guardrails, and prompt engineering techniques.
Comfortable working with open source tools and cloud platforms, with ability to translate technical insights into actionable business solutions.