Machine Learning, Sql, MLops, Gcp, Azure, Python, AWS, Vector search, LangChain, Databricks AI Agents, Prompt engineering, LLMOps, Vector databases, Ai, Semantic Kernel, LangGraph, Embeddings, Agentic AI, LLM-based applications, LLM evaluation, RAG architectures

record linkage , Numpy, Nlp, Docker, XGBoost, Flask, Python, Sql, Pandas, FastAPI, embeddings, scikit-learn, fuzzy matching, Levenshtein, model evaluation, RAG fundamentals, LLM GenAI, sentence-transformers, model deployment, entity resolution, prompt engineering, Jaro-Winkler, REST API serving, vector similarity search, text embeddings

Data Science, Github, Machine Learning, Tableau, JIRA, Python, Sql, AWS, R, dbt

data engineering , Data Science, Machine Learning, Distributed Computing, Artificial Intelligence, Advanced Analytics, Spark, AI System Design

Sparql, Tensorflow, Pytorch, Data Science, Python, AWS, Sql, Gcp, Databricks, Azure, embeddings, knowledge engineering, scikit-learn, enterprise ontologies, big data infrastructure, vector databases, semantic retrieval, Cypher, enterprise knowledge grounding, GQL, semantic models, ML libraries, GenAI systems, cloud environments, graph query languages, RAG, semantic data systems, applied AI

Data Science, Predictive Analytics, Python, R, Interpreting model results, Statistical Modeling, Data preprocessing, Machine learning frameworks, Communicating insights

Deep Learning, MLops, Gcp, Docker, Kubernetes, Python, LangChain, Generative AI, RAG-based systems, reinforcement learning, BigQuery ML, Vertex AI, LlamaIndex

Machine Learning, Tableau, Python, Sql, GenAI, R, Applied AI, Statistical Modeling

Machine Learning, Pyspark, Statistical Modelling, Sql, MLops, Databricks, Python, Forecasting, Feature Engineering, model validation, Regression, Optimization Techniques, Delta Lake

Java, Databases, Design Patterns, Sql, AWS