Gcp, Spark, Databricks, Azure, AWS, AI ML lifecycles, Delta Lake, cloud data platforms, Unity Catalog

Scrapy, PostgreSQL, Redis, Gcp, Docker, MySQL, Selenium, MongoDB, Kubernetes, Python, AWS, LangChain, LLMs, Playwright, Claude, CI CD, Puppeteer, OpenAI, LlamaIndex

snowflake , bedrock , ELT, Docker, Python, AWS, Apache Spark, Sql, Gcp, Databricks, Azure, Kubernetes, Etl, Pinecone, CI CD, Vertex AI, Anthropic SDKs, LangChain, OpenAI Service, Vector DBs, Gen AI, SageMaker, Milvus, OpenAI, Weaviate, LlamaIndex, AgenticAI

Gdpr, Microsoft Azure, Databricks, Data Governance, NIST AI RMF, Generative AI, federated data mesh, AI Governance, governance frameworks, Risk Management, regulatory frameworks, EU AI Act, ISO 42001, model lifecycle management, AI ML systems

AWS, Python, Azure, Devops, Gcp, LangChain, LLMs, RAG architecture, MCP-based systems, CI CD pipelines, LangGraph, Deepeval

Microservices, MLops, Distributed Systems, Kubernetes, AWS, Cost optimization strategies, GenAI LLMs, SaaS architecture, DevOps practices, Model training, Deep Learning Containers, Feature engineering, Cloud-native architectures, Data ingestion, CI CD pipelines, AI ML platforms

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

Pyspark, Azure Databricks, Bash, Terraform, AWS CodePipeline, Kubernetes, Python, KubeFlow, Azure ML Studio, Github Actions, Fast API, AKS, AirFlow, Unix command line toolkit, GCP Vertex AI, AWS SageMaker, MLFlow

Paas, Saas, Cloud Technologies, business intelligence, go-to-market strategies, Sales, AI solutions

Orchestration, Deep Learning, Nlp, Databricks, Azure, LangChain, evaluation techniques, RAG embeddings, Generative AI, AWS Bedrock, LLMs, LLMOps, SLMs, Cloud platforms, Hugging Face, vector databases, MLOps pipelines, prompt engineering, GCP Vertex AI, AI Agent frameworks, Llama Index, transformer architectures, OpenAI