GenAI Phyton 7 years, Data Experience 7 years, Google Gemini or Gemini Pro knowledge 1 Year.

Job Description:

Design and develop scalable, high-performance GenAI architecture for handling large datasets and complex algorithms.
Collaborate with major GenAI service providers (e.g., Microsoft, Amazon) to make critical architectural decisions.
Translate business requirements into powerful GenAI enterprise solutions, including optimizing and fine-tuning large language models.
Work closely with cross-functional teams to integrate AI systems into existing platforms and ensure data quality.
Ensure adherence to ethical AI practices, promoting fairness, transparency, and accountability.
Stay on the cutting edge of GenAI technologies, driving research and experimentation.

Minimum Requirements:
8+ years of experience as an Gen/AI Architect with expertise in Python, machine learning, deep learning, NLP, and large language models (LLMs).
Experience with models like Googlle Gemini, Gemini pro, BERT, GPT, Roberta, and tools such as NLTK, Spacy, Gensim, LangChain, and Transformers.
Proven experience with generative AI models and cloud platforms like AZURE/AWS.
Strong Python skills and proficiency with frameworks like Tensorflow or Pytorch for NLP use cases.