Description

You will design, develop, and deploy generative AI models and large language model applications.

This role is on-site.

Responsibilities

• Build and implement generative AI models using GANs, VAEs, and reinforcement learning techniques.
• Lead development of agentic frameworks and LLM integrations using tools like Autogen, CrewAI, and MCP Server.
• Optimize model performance through hyperparameter tuning, experimentation, and advanced optimization strategies.
• Oversee cloud deployments and orchestration of AI models to ensure scalability and reliability in production.
• Document model processes and communicate technical results to both technical and non-technical stakeholders.

Required Skills

• 3-6 years of hands-on experience with Python, TensorFlow, PyTorch, or Keras.
• Deep expertise in Machine Learning, Deep Learning, NLP, and Generative AI.
• Practical experience with GANs, Variational Autoencoders, and Reinforcement Learning.
• Familiarity with Azure OpenAI, AWS, and cloud computing platforms.
• Experience with containerization and orchestration of AI models.
• Knowledge of Transformers, BERT, PaLM, and related LLM architectures.

Preferred Skills

• Experience with Google Vertex Gen AI, Bard, and Autogen.
• Background in hyperparameter tuning and optimization techniques.

Key Skills

Education

Any Graduate