Large Language Models (LLMs), Machine Learning, Artificial Intelligence, Pyspark, Deep Learning, Git, Bitbucket, Predictive Analytics, Generative AI, Advanced Python, Model Deployment and Monitoring, Data Pipeline Development, GitHub Copilot, Automated Unit Testing, Python Packaging and Deployment, Statistical Modeling, CI CD and DevOps Practices, Data Processing and Transformation, Causal AI, Data Preparation for ML Workloads, Scalable and Performant Application Design, Knowledge Graphs

Gcp, Pyspark, Sklearn, Tensorflow, Azure, Python, Pytorch

metaheuristics , Pyspark, Sql, Deep Learning, Python, Column Generation, LP, MILP, heuristics, AI Coding Agents, CPLEX, Decomposition, Pyomo, OR-Tools, Pulp, constraint programming, Network Flows, HiGHS, CP-SAT, Operations Research, Simulation, Gurobi

Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, Machine Learning Algorithms, AWS, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering

Sql, Databricks, Python, vector search, AI Foundry, tool calling, deployment on Azure, Azure OpenAI, CI CD, Agents, RAG, Microsoft Fabric

Intelligent Document Processing (IDP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Tensorflow, Nlp, Pytorch, Azure, Ocr, AWS, LangChain, Generative AI, vector databases, AI models, Scikit-Learn, OpenAI Gemini, Object-Oriented programming in Python, LlamaIndex

Machine Learning, Sql, Hive, MLops, Presto, Spark, Python, LangChain, Generative AI, Flink SQL, TFX, MLflow, LangSmith, LangGraph, SageMaker, Kubeflow, Flink SDK

Machine Learning, Sql, MLops, Spark, Databricks, Python, Feature Engineering, Model Lifecycle Management, Statistics, CI CD, Model Monitoring, Drift Detection, Optimization Techniques, Responsible AI

Machine Learning, React, FastAPI, Python, Sql, Cloud Platforms, LangChain or Agentic Frameworks, Data Visualization BI Tools, Generative AI LLMs, Git CI-CD

Machine Learning, Docker, Sql, Python, AWS, demand capacity planning, Statistical Modeling, Amazon SageMaker, time series forecasting