python, Natural Language Processing, Deep Learning, Pytorch, lora, Transformers, langgraph, generative ai, fine tuning, ml evaluations, peft, langchain, embedding, multimodal ai, vector database

triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization

Java, Machine Learning, Cassandra, PostgreSQL, Dynamodb, Kafka, Redis, Sql, Tensorflow, Nosql, Pytorch, Docker, MySQL, Spark, Kubernetes, Python, Apache Iceberg, generative AI, Go, Apache Hudi, real-time inference, Large Language Models, model serving

Ml, San, Pytorch, Al

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

Spark, Azure, Python, AWS, Airflow, cloud ML platforms, MLFlow

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

Sklearn, Python, AWS, Sql, Gcp, Containers, Azure, NL2SQL pipelines, embeddings, Pipelines, structured outputs, model registry, chatbots, LangChain, experiment tracking, tool function calling, LLMs, Forecasting, feature pipelines, analytics agents, drift monitoring, RAG, CI/CD, statsmodels, LlamaIndex