business workflows , Containers, Nlp, Databases, Testing, Python, Ml, Applications, Apis, Version Control, Git, Computer Vision, Retrieval, Prompt engineering, Deployment, Security, Privacy, Vector Databases, Embeddings, ML lifecycle, Human-in-the-loop processes, Data pipelines, RAG pipelines, Grounded responses, Monitoring, Generative AI, LLMs, Data ingestion, AI agents, Responsible AI, Model evaluation

Machine Learning, Deep Learning, Pytorch, Docker, FastAPI, Python, AWS, LangChain, Generative AI, LLMs, AI Agents, Hugging Face, LangGraph, Vector Databases, Embeddings, RAG, LlamaIndex, Prompt Engineering

Sql, Tensorflow, Pandas, Pytorch, Spark, Splunk, Python, Monitoring for data and model drift, Scikit-learn, MLflow, Model versioning, Flink, LLM-based agents, Agentic AI, CI/CD for ML, Ciena Blue Planet UAA

Python Programming, Generative AI, RAG and embeddings, Prompt Engineering

Large Language Models (LLMs), Image Processing, Neural network architectures, Generative AI, Agentic AI, On-premises infrastructure, Deep learning frameworks, Production-grade AI pipelines, Cloud AI services, Chatbot development

Machine Learning, Nlp, Docker, Python, Databases, Sql, Deep Learning, Rest Apis, vector search, embeddings, vector databases, CI CD, model evaluation, backend systems, retrieval, AI APIs, Generative AI, LLMs, scalable application architecture, prompt engineering, performance optimization, cloud platforms