production deployment , Python, vector stores, monitoring of AI ML solutions, retrieval strategies, re-ranking, embedding models, multi-step agent workflows, prompt engineering, RAG architectures

data mining, Python, Data Analysis, R, econometric optimization models

Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models

Machine Learning, XGBoost, Excel, Sql, Python, Random Forest, R

snowflake , Machine Learning, Hadoop, Spark, Tableau, Redshift, Python, Sql, R

Databricks, Azure, Python, Sql, Deep Learning, AWS, graph algorithms, Statistical AI

Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models

Tensorflow, Pytorch, Azure, Python, AWS, Generative AI technologies, OpenAI Gemini, Scikit-Learn

Deep Learning, Predictive Modeling, Python, Sql, retro testing, model validation, statistical machine learning, feature engineering, time-series forecasting, production-grade forecasting solutions

Retrieval-Augmented Generation (RAG), Machine Learning, Jax, Microservices, Deep Learning, Tensorflow, Pytorch, Docker, Rest Apis, Python, Kubernetes, multi-agent systems, Generative AI, GPU infrastructure, cloud platforms, Ethics, Regulatory Compliance, MLOps practices, LLM-powered applications, agentic AI workflows, AI governance