Opportunity Description
Key Responsibilities
- Develop and deploy Generative AI and Machine Learning solutions
- Build AI-powered applications, chatbots, copilots, and automation tools
- Design and implement RAG pipelines, vector search, and prompt engineering techniques
- Train, fine-tune, evaluate, and optimize ML/LLM models
- Develop scalable APIs and integrate AI services with enterprise applications
- Work with structured and unstructured datasets for model training and analytics
- Collaborate with Data Engineers, DevOps teams, and business stakeholders
- Monitor model performance, scalability, and reliability in production environments
Mandatory Skills
- Strong experience in Python programming
- Hands-on experience in Machine Learning and Deep Learning concepts
- Experience with LLMs and Generative AI frameworks
- Strong knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG)
- Experience with LangChain, LlamaIndex, Hugging Fac...
- Develop and deploy Generative AI and Machine Learning solutions
- Build AI-powered applications, chatbots, copilots, and automation tools
- Design and implement RAG pipelines, vector search, and prompt engineering techniques
- Train, fine-tune, evaluate, and optimize ML/LLM models
- Develop scalable APIs and integrate AI services with enterprise applications
- Work with structured and unstructured datasets for model training and analytics
- Collaborate with Data Engineers, DevOps teams, and business stakeholders
- Monitor model performance, scalability, and reliability in production environments
Mandatory Skills
- Strong experience in Python programming
- Hands-on experience in Machine Learning and Deep Learning concepts
- Experience with LLMs and Generative AI frameworks
- Strong knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG)
- Experience with LangChain, LlamaIndex, Hugging Fac...