Prometheus, Grafana, Tensorflow, Jenkins, Nlp, Pytorch, Docker, Python, Kubernetes, Azure DevOps, multimodal LLM frameworks, LangChain, vector search, speech models, RAG Retrieval Augmented Generation, Pinecone, CI CD, GitHub Actions, Cv, FAISS, Weaviate, LlamaIndex, LLaVA

Apis, Python, AWS, LangChain, Data privacy and governance, LLMs, Serverless architectures, Vector databases, Machine learning models, Amazon SageMaker, Logging and observability, CI CD pipelines, AI pipelines, Generative AI models, Amazon Bedrock, Model performance tracking

Sql, Databricks, Ms Azure, Java, Machine Learning, MLops, FastAPI, Python, Gcp, Nlp, Flask, Scala, Google Looker, Sqlalchemy, GenAI, CI CD, R, SQLModel, Agentic AI, ApigeeX

LLM API experience, Production-grade Python, Async Python, Agentic pipeline design, RAG pipeline design and vector search, Embedding models and semantic similarity, Document AI PDF parsing, Classification systems with large label spaces, Evaluation framework design for LLM systems, Git code reviews CI CD basics, MongoDB or equivalent NoSQL

text classification , Sql, Tensorflow, Pytorch, Gcp, AWS, Python, Azure, Summarization, ChromaDB, NLP techniques, LlamaIndex, chatbots, Prompt Engineering, Hugging Face, cloud platforms, Azure OpenAI, embeddings, ML frameworks, LangChain, AWS Bedrock, topic modeling, RAG pipelines, vector databases, semantic search, FAISS, GenAI tools, Google Vertex AI

textual analysis , Machine Learning, Keras, Natural Language Processing, MLops, Pytorch, Hive, Tensorflow, Spark, LLMs, API service development, cloud AI ML skills, orchestration tools, Prompt Engineering, vector databases, Generative AI frameworks, dialog systems, recommendation systems