Machine Learning, Sql, Gcp, MLops, Azure, Python, AWS, Data lakes, LLM ecosystems, GenAI, Deep Learning frameworks, AI deployment frameworks, R, AI governance

Python, Agentic AI, Multi-Agent Systems, Generative AI, LLMs, Prompt Engineering, Reasoning Frameworks, RAG, Retrieval-Augmented Generation

Java, Nlp, Git, Python, AI Architecture, embeddings, vector search, RAG patterns, AI Fundamentals, Evaluation, cloud-based delivery, retrieval, NLU

Tensorflow, Nlp, Pytorch, Python, Matching reconciliation algorithms, LLM-based systems, Classification, Entity extraction, Production AI deployment, ML frameworks

Databricks, Azure, Vector Databases, Azure AI Agents, evaluation tools, OpenAI, Microsoft Agentic Framework, Gen AI LLMs

Ml, Nlp, MLops, LangChain, embeddings, LLMOps, GenAI ecosystems, Hugging Face, vector databases, enterprise-scale AI platforms on cloud, open-source models like LLaMA, Mistral, risk and compliance in BFSI, LLM frameworks, AI governance, OpenAI, LlamaIndex, RAG architectures

cloud security, Data Protection, Javascript, Application Security, Iam, Grc, Python, ZTNA, SASE, SSE, Go, Zero Trust principles, AI security, Security Operations

data engineering , Tensorflow, Pytorch, Cloud Architecture, Distributed Systems, Azure, Kubernetes, caching layer, embeddings, Airflow, vector databases, MLflow, platform engineering, LLM RAG patterns, prompt engineering, ML AI engineering, Kubeflow, MLOps tools, KServe, ML frameworks

Sales Engineer, Machine Learning, Data Science, Python, Technical customer-facing roles, Common LLM frameworks and tools, Technical Account Manager, Designing scalable cloud architectures, Integrating with enterprise systems, Solutions Architect

.NET, data engineering , DataBricks, Apis, Trello, Predictive Analytics, Jira, Microservices, Computer Vision, Agile Methodologies, Python, Azure AI Foundry, AI GenAI technologies, Ollama, cloud architecture principles