Neural network frameworks, Generative AI, Conversational AI systems, Image processing techniques, Deep learning architectures, Chatbots

Tensorflow, Nlp, Pytorch, MLops, Python, Weights Biases, recommendation systems, LLM APIs, MLflow, time-series forecasting, prompt engineering

Tensorflow, Azure ML, Pytorch, Docker, Python, Kubernetes, LangChain, Qdrant, Hugging Face, Pinecone, GCP Vertex AI, AWS SageMaker, Milvus, LlamaIndex

Memory Management, FastAPI, Python, prompt-injection defense, embeddings, multi-step agent workflows, vector and hybrid search, cloud containerized and scalable, LLM and agentic applications, prompt engineering, RAG and retrieval experience, production deployment of AI services, AI safety and security instincts, chunking, JSON schema, API service work, evaluation discipline, structured output, function calling

AI ML, Tensorflow, Pytorch, Docker, Kubernetes, Python, Ocr, AWS, GenAI, scikit-learn, ML Models, CI CD, Vector Databases, AWS SageMaker, Prompting Techniques

Typescript, Javascript, Docker, Python, AWS, Apis, Azure ML, Gcp, MLops, Azure, Kubernetes, embeddings, vector databases, Pinecone, LangGraph, Agentic AI systems, Google Vertex AI, CrewAI, LangChain, LLMs, prompt engineering, AutoGen, FAISS, AWS SageMaker, RAG, SDKs, Weaviate

Tensorflow, Machine Learning, Pytorch, Docker, Api Development, Python, AI system design, Scikit-learn, NLP concepts, RAG architectures

prophet , Azure Databricks, Knn, Random Forest, Nosql, Seaborn, Numpy, Docker, Python, Azure DevOps, Logistic Regression, Sql, Git, AR, Azure Data Factory, Pandas, Arima, scikit-learn, MLflow, ARMA, Matrix Profile, pyarrow, plotly, Azure Data Explorer, Azure Machine Learning Service, Kusto, Hive Metastore, Time Series Forecasting Models