Version Control, API design, Automated Testing, Sql, Distributed Systems, Python, secure development practices, retrieval-augmented generation, CI CD, machine-learning services, intelligent workflow automation, AI-enabled solutions, observability

Gcp, MLops, Docker, Databricks, Azure, Python, AWS

Tensorflow, Pytorch, Gcp, Docker, Distributed Systems, Azure, Kubernetes, Python, AWS, Airflow, SHAP, LLMs, generative AI, Scikit-learn, MLflow, prompt engineering, LIME, Kubeflow, CI CD pipelines, explainability tools, RAG architectures

Databricks, Microservices, AWS, Python, Kubernetes, Apis, vector databases, AI systems orchestration frameworks, backend services, AI-powered automation solutions, orchestration frameworks, event-driven systems, agentic workflows, AI data pipelines, cloud-native development, lakehouse platforms, tool-calling architectures, data lakes

Git, Agile Development Methodologies, Rest Apis, Python, AI orchestration frameworks, data pipelines, prompt engineering

Alteryx, Tableau, Tensorflow, Nlp, Pytorch, Database Design, Talend, Python, Power Bi, Api Development, Power Platform, Deep Learning, MLops, Claude, GPT, Azure OpenAI, Large Language Models, Generative AI, AI Foundry, Ai, DataOps, Llama, Azure AI services, AI Search

Kubernetes, Python, AI ML application development, Observability and monitoring tools, MLOps AIOps tools, CI CD pipelines, GenAI frameworks

Sql, Java, MLops, Google Cloud, AWS, Python, Azure, Pinecone, vLLM, OpenAI, feature engineering, Gemini, data preprocessing, LLMOps, LLM orchestration frameworks, Weaviate, LangChain, LMDeploy, LangGraph, Milvus, Claude, vector databases, model evaluation, LLaMA, FAISS, prompt engineering

Automation Tools, Javascript, Itil Framework, Node.js, Scripting, Python, GitOps practices, ITSM best practices, CI CD pipelines, AI ML technologies