Large Language Models (LLMs), Generative AI, Data augmentation methods, Python Programming Language, Data preprocessing techniques

Python, production deployment and monitoring of AI ML solutions, multi-step agent workflows, prompt engineering, RAG architectures

Machine Learning, Cloud Azure, Deep Learning, Tensorflow, Numpy, Pandas, Software Engineering, Pytorch, MLops, Keras, Python, Generative AI, scikit-learn, Data SQL

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

Python

Pytorch, Tensorflow, MLops, AWS, Kubernetes, Python, Azure, Gcp, Docker, GPT, LlamaIndex, Large Language Models, Scikit-learn, QLoRA, Weaviate, LoRA, LangChain, LLaMA, Pinecone, FAISS, Generative AI

Tensorflow, Natural Language Processing, Generative Adversarial Networks, Python, Pytorch, Machine Learning Algorithms, Text-to-Image, Conditional GANs, Latent Diffusion, Draping algorithms, Deep Neural Networks, InPainting, Image-to-Image, Feature engineering, Speech-to-Text, Data pre-processing, Text-to-Speech, Stable Diffusion, Texture Mapping, Fabric simulation, Transformers

Python, GenAI tools and LLM integration, Data preprocessing, Model evaluation, experimentation