Sql, Data Science, Python, embeddings, knowledge engineering, enterprise ontologies, big data infrastructure, vector databases, semantic models, semantic retrieval, GenAI systems, enterprise knowledge grounding, RAG pipelines, semantic data systems, applied AI

Backend Engineering, Random Forest, Microservices, programming, LangChain, Langchain, AI LLM Frameworks, Claude, architecture design principles, AI ML implementation, Gradient Boost, test-driven development, Langgraph, Spring AI, MCP server implementation, OpenAI

Tensorflow, Nlp, Computer Vision, MLops, Pytorch, Azure, Python, AWS, LangChain, Generative AI, LLMs, Crew AI, Hugging Face, Pinecone, AutoGen, LangGraph, Agentic AI, FAISS, time series forecasting

Machine Learning, Natural Language Processing, SAS, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, Generative AI, R

bayesian inference , snowflake , Machine Learning, Pyspark, Neural Networks, Svm, Sql, Random Forest, Regression Analysis, Anova, XGBoost, Spark, Statistical Analysis, Python, Data Privacy, Marketing Mix Models, LightGBM, MLflow, Recommendation Systems

Machine Learning, Tensorflow, Nlp, Pytorch, Predictive Analytics, Azure, Python, Computer Vision, AWS, LangChain, Generative AI, LLMs, Crew AI, Hugging Face, Pinecone, AutoGen, LangGraph, Time Series Forecasting, FAISS, Statistical Modeling, Cloud-native AI solutions

cdisc standards , Ml, SAS, Data Visualization, Python, Sql, R, Ai, Quantitative Analysis

Predictive Modeling, Machine Learning, Algorithm Design, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Spark, Python, a/b testing, AWS Bedrock, Data Pipelines, Scikit-learn, Statistical Methods, Recommendation Systems, GCP AI Platform, AWS SageMaker, Google Vertex AI, Uplift Modeling

snowflake , Pandas, Scipy, Numpy, Python, Sql, AWS, Jupyter Notebooks, scikit-learn, Looker

Databricks, Python, responsible AI, model explainability, model evaluation, fairness, Privacy, feature engineering, ML frameworks