- Design develop and deploy AI ML models for business applications
- Build and optimize Machine Learning and Deep Learning pipelines
- Develop Generative AI applications using Large Language Models LLMs such as GPT Llama Claude and Gemini
- Implement Retrieval Augmented Generation RAG solutions for enterprise knowledge management
- Fine tune and evaluate foundation models using domain specific datasets
- Develop AI powered chatbots virtual assistants and recommendation systems
- Create APIs and microservices for AI model deployment
- Build and maintain MLOps pipelines for model training monitoring versioning and deployment
- Optimize model performance scalability cost and latency
- Collaborate with product managers data engineers software developers and business stakeholders
- Stay current with emerging AI technologies frameworks and industry best practices
- Ensure AI solutions adhere to security compliance governance and responsible AI standards
Additional Responsibilities:
- Technology AI AI Engineering AI ML Solution Architecture and Design
Preferred Skills:
Technology->AI-AI Engineering->AI/ML Solution Architecture and Design