Machine Learning, Tensorflow, Jenkins, Docker, FastAPI, Python, Kubernetes, Pytorch, Uvicorn, Agentic AI, Encoder-decoder architectures, Pre-processing, Entity extraction, Fine tuning, Similarity matching, Text cleaning, Azure platform

Machine Learning, Artificial Intelligence, Prometheus, Grafana, Sql, MLops, Docker, Azure, Kubernetes, Python, AWS, Generative AI, LLMOps, Data Bricks, Agentic AI, Prompt Engineering, Large Language Models

Github, Apis, Tensorflow, Numpy, Git, Pandas, MLops, Pytorch, Docker, Azure, Kubernetes, Python, AWS, agentic architecture, GenAI, scikit-learn, LLMOps, Llm, distributed services, infrastructure as code

Machine Learning, Apis, Natural Language Processing, Microservices, Devops, Data Privacy, Python, CI CD, cloud environments, responsible AI, AI services, Security, model-serving pipelines, large language models, data ingestion

Machine Learning, Python, Transformers, GenAI Technologies, AI Agents, Prompt Engineering, MLOps Practices

Spark, Azure, Python, AWS, Airflow, cloud ML platforms, MLFlow

Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Docker, Databricks, Azure, Python, AWS, Hugging Face, LangChain, scikit-learn, MLflow, CI CD

Java, Scala, Sql, Nosql, Gcp, Data Architecture, Spark, Databricks, Azure, Kubernetes, Python, AWS, Event-driven systems, Delta Lake

Ml, San, Pytorch, Al