Gcp, Azure, AWS, AWS Bedrock, AI engineering, MCP automation frameworks, access control for AI systems, Anthropic, Azure OpenAI, output validation monitoring, cloud environments, agent-driven workflows, AI security controls, machine learning engineering, AI assistants, GPT-based tools, OpenAI

Ml, Apis, Data Architecture, Gcp, Azure, Python, AWS, LLM integration, Ai, prompt engineering, performance optimisation, model evaluation, scalable backend systems

Jenkins, Devops, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools

Parallel Programming, Computer Architecture, Python, HW-SW optimization techniques, SW integration in large open-source frameworks, SGLang, vLLM

triton , Tensorflow, Nltk, Pytorch, Python, Spark, FastAPI, Kubernetes, Airflow, Hugging Face Transformers, ML ecosystem, Ray, MLflow, Pinecone, OpenAI APIs, Dask, Kubeflow, TorchServe, LangChain, Scikit-learn, spaCy, FAISS, KServe, Weaviate, LlamaIndex

Tensorflow, Nlp, Docker, Terraform, Openshift, Selenium, Python, AWS, Java, Cloudformation, Appium, Jenkins, MLops, Ansible, Atlassian Jira, Ibm Cloud, Rest Apis, Kubernetes, MLflow, GitHub Actions, R, Kubeflow, AI ML technologies, Playwright, GitLab CI, Cypress, CI CD pipelines, Azure AI, OpenAI

triton , Tensorflow, Pytorch, Nltk, FastAPI, Kubernetes, Python, Spark, FAISS, LlamaIndex, Airflow, ML ecosystem, Weaviate, LangChain, TorchServe, Pinecone, KServe, Ray, MLflow, Kubeflow, Scikit-learn, Hugging Face Transformers, Dask, OpenAI APIs, spaCy

Java, Gcp, Azure, Python, AWS, Golang, GenAI, Agentic AI frameworks, LLMs, model fine-tuning techniques, REST-API, A2A protocols, context engineering techniques, cloud native services, MCP