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:

- Solid 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: Tensorflow, Pytorch, Azure, Aws, Python

Experience: 3.00-6.00 Years

📌 Software Engineer - Python (AI) (Kochi)
🏢 BEO software
📍 Kochi