Data Science, Apis, Databricks, Microsoft Azure, Python, AI ML Engineering, Generative AI, Software Engineering Principles, Data Pipelines, Machine Learning Engineering, Large Language Models

.NET, Git, Azure Sql, RAG embeddings, Azure OpenAI Service, Azure AI Foundry, prompt engineering

Java, System Maintenance, Natural Language Processing, Google Cloud, Tensorflow, Pytorch, Azure, Python, Statistical Analysis, AWS, Computer Vision, Generative AI, Scikit-learn, Stakeholder Communication, Data Pipeline Development, Infrastructure Automation, Agentic AI, R, Collaboration, AI Model Deployment, AI Experimentation, Model Development Integration

Machine Learning Algorithms, AI development and production infrastructure, predictive data models, deep learning frameworks

BigQuery, Python, Sql, Deep Learning, Gcp, LLM-based tools, AI coding assistants, classical ML

Python, API tool orchestration, Google AgentSpace, Vector Databases, AWS Bedrock, Embeddings, Dataiku, Production RAG, Microsoft Copilot Studio

BigQuery, Sql, Gcp, Python, Airflow, fine-tuning, MLOps engineering, LLM application development, classical ML predictive modeling, prompt engineering, RAG agents, dbt, AI ML systems

Python, Apis, MLops, backend services, LLMs, RAG architecture, LLMOps, vector databases, embeddings

Sql, Python, Git, Rest Apis, Vector Search, Vector Database, Embeddings, Prompt Engineering, GenAI applications, RAG-based solutions, AI Agent, Tool Function Calling

MLops, Python, Apis, LLMs, RAG architecture, backend services, LLMOps, vector databases, embeddings