Git, Machine Learning, Artificial Intelligence, Rest Apis, Python, Generative AI, LLMs, basic cloud concepts, AI APIs, Prompt Engineering

Python, Tensorflow, Django, Machine Learning, Kafka, AWS, Angular, Pytorch, Kubernetes, Azure, Gcp, Docker, Flask, Responsible AI practices, Microsoft Copilot Studio

Apis, Microservices, enterprise knowledge architectures, response governance, AI orchestration frameworks, orchestration patterns, Generative AI, Graph RAG, data pipelines, retrieval optimization, LLMs, evaluation grounding, tool calling, integration mechanisms, multi-agent architectures, knowledge layers, prompt engineering, vector stores, Agentic AI, RAG, reranking, hallucination mitigation, MCP context engineering

static code analysis , MLops, Kubernetes, Python, Docker, Restful Apis, RAG architectures, Cloud Monitoring, GRPC, OpenTelemetry, microservice design patterns, Generative AI, token metering

Tensorflow, Pytorch, ROS, Python, ArduPilot, reinforcement learning, Multi-Agent Reinforcement Learning, PX4, ROS2, Robotics Simulators

Java, Python, Anthropic, AI applications, LLMs, cloud AI services, OpenAI, Azure AI, agent frameworks, RAG architectures, vector databases

Python, Azure AI Services or IBM Watson Experience, ServiceNow Certified Application Developer, Machine Learning Pipelines, ServiceNow Platform Application Development, Experience with Now LLM or Now Assist, REST SOAP APIs, ServiceNow Integration Hub, ServiceNow Predictive Intelligence, Generative AI LLM Integration, JavaScript GlideScript

Github, Machine Learning, Apis, Programming, Software Engineering, Testing, Evaluation and Traceability, Documentation, Ai, Model and Tool Integrations, Modern AI Application Patterns, AI-assisted Development Tools, MCP Observability