Description

You will design and develop scalable AI/ML architectures, specializing in Generative AI and NLP/NLU solutions.

Responsibilities

• Design and implement scalable AI/ML architectures with a focus on Generative AI.
• Develop and optimize Transformer-based models (BERT, GPT, T5) using Hugging Face.
• Build RAG models and knowledge-based solutions using LangChain, GraphLLM, and Neo4j.
• Train and deploy models using TensorFlow and PyTorch for production efficiency.
• Process healthcare datasets while ensuring domain-specific data privacy and compliance.

Required Skills

• 7+ years of experience in AI/ML architecture and development.
• Expertise in Generative AI, NLP, and NLU.
• Proficiency in Python, PyTorch, and TensorFlow.
• Hands-on experience with LangChain, RAG, GraphLLM, and Neo4j.
• Experience fine-tuning Transformer models such as BERT, GPT, and T5.
• Practical experience working with healthcare datasets.
• Familiarity with PySpark, Airflow, and Temporal for workflow automation.

Preferred Skills

• Ability to design scalable AI solutions for production environments.
• Any Graduate degree.

Key Skills

Education

Any Gradute