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Mid-level ML/GenAI role in Bangalore at a known multinational creates high applicant competition.
Core ML and LLM skills are transferable across industries, though domain knowledge adds moderate bias.
Explicit 5–8 year requirement plus mandatory GenAI, LLM and tooling expertise increases shortlisting strictness to high.
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Lead design, development, and deployment of Machine Learning models with focus on advanced language models and Generative AI technologies.
Collaborate with research teams and external partners to build end-to-end AI/ML/NLP solutions including Conversational AI and document understanding.
Analyze customer data using statistical methods to provide actionable insights and develop metrics to quantify product value.
5 to 8 years in Data Science or Generative AI roles with 2 to 3 years specifically in Generative AI solution development.
Hands-on experience with open and closed source LLMs, GenAI frameworks (e.g., LlamaIndex, Langchain), and cloud services (Azure, GCP, AWS).
Proficient in Python, R, and ML frameworks such as TensorFlow, Keras, PyTorch; and experienced in NLP techniques and transformer-based models.
Must have independently handled technical project leadership and provided direction to team members.
Experienced in applying and fine-tuning language models for bespoke NLP tasks in business contexts, able to translate complex problems into AI/ML solutions.
Strong expertise with LLM ecosystems including RAG, Agents, Vector databases, and practical deployment of GenAI technologies.
Capable of driving cross-functional communication and evangelizing analytics insights through clear, actionable storytelling and visualization.