CDK, Nlp, Terraform, Python, Devops, vector search, embeddings, AWS Bedrock, HuggingFace, Azure AI Foundry, LangGraph, AWS Sagemaker, ML observability, LLM architectures, RAG pipelines, explainability tools, LangChain, real-time NLP, PEFT, Generative AI, Azure OpenAI Service, Azure ML Studio, Ai, fine-tuning methods, infrastructure-as-code, LoRA, Transformers, SmolAgents, LlamaIndex

Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Docker, Databricks, Azure, Python, AWS, LangChain, scikit-learn, Hugging Face, MLflow, CI CD

lifecycle management , Scalability, Python, Machine Learning, Transformers, MLOps Practices, AI Agents, Observability, Prompt Engineering, Model Deployment, GenAI Technologies

Java, Machine Learning, Cassandra, PostgreSQL, Dynamodb, Kafka, Sql, Redis, Nosql, Tensorflow, Pytorch, Docker, MySQL, Spark, Python, Kubernetes, AWS, Go

Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Transformer architecture, Fine-tuning techniques for LLMs

Deep Learning, python, Machine Learning, Natural Language Processing, Tensorflow, gen ai

Cloudformation, Jenkins, Git, MLops, Gcp, Terraform, Spark, FastAPI, Azure, Kubernetes, Python, AWS, RAG systems, MLflow, vector databases, TF Serving, statistical hypothesis testing, GitHub Actions, TorchServe, Go or Rust

Software Development, Machine Learning, Testing, Software Design, Programming Languages, Debugging, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, Optimization, Large Language Models