Azure ML, Java, Tensorflow, Hadoop, Kafka, AWS, Redis, Pytorch, Python, Docker, Jenkins, Git, PostgreSQL, MongoDB, Spark, MLflow, Kubeflow, Google AI Platform, Hugging Face, Scikit-learn, SageMaker, LangChain, DVC

Nosql, Sql, Microservices, Tensorflow, Hadoop, Rest Apis, AWS, Pytorch, Python, Kubernetes, Azure, Docker, Gcp, Spark, scikit-learn, Hugging Face, OpenAI APIs, CI CD pipelines

Tensorflow, Jax, System Design, Distributed Systems, Pytorch, Python, Spark, CI CD, Architectural Design, Ray, data pipelines, performance optimization, Monitoring, cloud-native AI ML services, distributed computing frameworks, model serving, scalable AI inference systems, MLOps best practices

Scalability, MLops, cost efficiency, RAG pipelines, multimodal, latency, AI-Based evaluation methods, Reliability, ML AI solutions, LLM-based systems, AI techniques, cloud AI platforms, Python frameworks, embeddings, Agentic workflows, Monitoring, CI CD pipelines, GCP Vertex AI, AI system architecture

Pytest, Python, CrewAI, LangGraph, multi-agent systems, AWS Bedrock, Strands, delegation patterns, Server-Sent Events, LangSmith, JSON-RPC 2.0

AI ML, Python, Llm, RAG, Gen AI, AI Engineer

Java, Google Cloud, Angular, Pytorch, Javascript, Docker, Reactjs, Microsoft Azure, Keras, Kubernetes, Python, AWS, Ibm Bluemix, scikit-learn

Sql, Tensorflow, Git, MLops, Pandas, Gcp, Pytorch, Docker, Spark, Azure, Kubernetes, Python, AWS, LangChain, scikit-learn, CI CD, LangGraph

Automation testing, Test Planning, Test Case Design, Java, Python, Algorithms, AI ML concepts, defect test management, QA Methodologies, REST APIs testing, Tools, Bugs reporting