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Job Description

Experience – 15+yrs

Job location – ALL

Quick joiners to 1 month Notice

Master's or bachelor's degree in computer science, Data Science, AI, Statistics, Machine Learning, or related fields

Strong problem-solving and critical-thinking abilities to analyze complex business challenges and propose AI-driven solutions

Proficiency in building and deploying generative AI models, including expertise in deep learning frameworks such as TensorFlow and PyTorch

Proficiency in the following:

  • Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud for deploying AI models
  • Experience in programming languages like Python, R, or other coding platforms relevant to AI model development
  • Good understanding of data governance, data quality, and data security aspects for structured and unstructured data.
  • RAG, vector search, embeddings, semantic retrieval, Agentic workflows, tool calling, memory systems, Prompt engineering, tuning strategies, evaluation frameworks, multi-model orchestration and inference optimization

Ability to work in a collaborative, cross-functional team environment

Leadership of large, cross-functional global teams and ownership of AI & GenAI transformation programs

Strong stakeholder management at CXO and VP levels

Excellent communication for executive storytelling and solution visualization

More Info

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Key Skills

Cloud computing platforms

Prompt engineering

Tuning strategies

Embeddings

R

RAG vector search

Deep learning frameworks

Inference optimization

Generative AI models

Agentic workflows

Evaluation frameworks

Tool calling

Semantic retrieval

Multi-model orchestration

Memory systems

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