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

Databases, Apis, Logging, Cloud deployment, Automated Testing, Git, Enterprise Security, Containers, Python, retrieval tool calling workflow orchestration, identity secrets management, CI CD, alerting, Incident Investigation, event-driven integrations, access controls, human-in-the-loop processes, performance optimization, Production Monitoring

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

Distributed Systems, LangChain, policy enforcement, LLMs, agent orchestration frameworks, LangGraph, ML platforms, cost controls, observability, Pipelines, embeddings, retrieval

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

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

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

python, Natural Language Processing, Deep Learning, Pytorch, lora, Transformers, langgraph, generative ai, fine tuning, ml evaluations, peft, langchain, embedding, multimodal ai, vector database

S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers

containerization , Java, Databases, Apis, Automated Testing, Microservices, Kubernetes, Python, orchestration technologies, Go, cloud platforms, generative AI tools, stream-processing technologies, observability tooling, data engineering pipelines