Java, Rest Apis, Generative AI, AI evaluation methodologies, Python APIs, Prompt Management, Vector Databases, Agentic AI, Production-grade AI Agents, Multi-Agent Systems, AI ML technologies, Prompt Engineering, Data ingestion pipelines

Tensorflow, Pytorch, Docker, Kubernetes, Python, AWS

Ml, Deep Learning, PYTHON, Ai, GENERATIVE AI

Java, Machine Learning, Linear Regression, Data Cleaning, Sql, Tensorflow, Deep Learning, Git, Pytorch, Version Control Systems, Keras, Python, data pre-processing, support vector machines, scikit-learn, random forests, cross-validation, software engineering principles, R, feature engineering, hyperparameter tuning

Jira, Azure ML, Jenkins, Git, Confluence, Databricks, Rest Apis, Python, RAG workflows, CrewAI, LLMs, AI Agents, PydanticAI, event-driven architectures, Codeium, AutoGen, LangGraph, WebSockets, GitHub Copilot, Windsurf

Apis, Jira, Jenkins, Azure ML, Git, Confluence, Databricks, Python, LLMs, Codeium, PydanticAI, LangGraph, GitHub Copilot, WebSockets, Autogen Crew, Prompt Engineering, Event-driven architectures, Windsurf

Python, Sql, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling

Machine Learning, Apis, Sql, Data Integration, Nlp, Git, Gcp, Docker, Azure, Python, AWS, LangChain, Generative AI, LLMs, AI Agents, Embedding Pipelines, CI CD, LangGraph, Vector Databases, RAG, Prompt Engineering, LlamaIndex

Tensorflow, Pytorch, Docker, Databricks, DataFlow, Azure Machine Learning, Kubernetes, Python, LangChain, AWS Bedrock, Hugging Face, Azure OpenAI, GCP Vertex AI, BigQuery ML, AWS SageMaker