Key Responsibilities :
- Develop and implement LLM and Generative AI solutions using Python and frameworks such as PyTorch or TensorFlow.
- Work with large language models including BERT, GPT, and Hugging Face models for text generation and NLP tasks.
- Apply deep learning techniques (CNN, RNN, Transformers) to solve complex AI problems.
- Design and develop agentic AI systems using frameworks like MCP for autonomous decision-making.
- Deploy and manage AI models on cloud AI platforms (GCP Vertex AI, AWS SageMaker, Azure AI).
- Collaborate with cross-functional teams to integrate AI capabilities into applications and services.
Required Skills & Qualifications :
Strong proficiency in Python with hands-on experience in PyTorch and TensorFlow.Experience with LLMs and Generative AI models (BERT, GPT, Hugging Face).Knowledge of Agentic AI concepts and MCP frameworks.Solid understanding of NLP and deep learning architectures (CNN, RNN, Transformers).Hands-on experience with cloud AI platforms for model deployment and scaling.Skills Required
Python, Pytorch, Tensorflow, Aws, Azure