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

Ml, Deep Learning, PYTHON, Ai, GENERATIVE AI

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

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

probability , Deep Learning, Testing Frameworks, AI evaluation methodologies, ML algorithms, fine-tuning model adaptation, deploying ML models as APIs, production-quality AI code, vector databases, LLM customization, prompt engineering, AI model monitoring, RAG techniques, AI pipelines, drift detection, LLM architectures, linear algebra, Governance, cloud-native AI architectures

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

Data Science, Machine Learning, Statistical Modeling, Natural language processing techniques, Data processing frameworks and tools, Cloud-based AI services, Python Programming Language, Data visualization techniques

Nosql, Tensorflow, Shell, Pytorch, Cicd, Python, AWS, Natural Language Processing, PowerShell, Sql, Django, Git, REST, Gcp, FastAPI, Keras, Azure, Azure Devops, Github Actions, Chat GPT, LangGraph, LangChain, AI Observability, AI Guardrails, Open AI, Vector Database, RAG, DsPy, Responsible AI, LlamaIndex, Prompt Engineering

Github, BigQuery, Google Cloud Platform, PostgreSQL, Jira, Django, Cloud Storage, FastAPI, DataFlow, Python, LangChain, vector databases, Cloud Run, Vertex AI, AI agents, GenAI orchestration frameworks, RAG pipelines, Google ADK