Python, Sql, R, classification and regression, ML algorithm performance, analytics pipelines, machine learning models

containerization , Machine Learning, T-sql, Pyspark, Python, Hadoop, Sql, Big Data Technologies, MLops, Spark, Databricks, AWS Bedrock, HuggingFace, Responsible AI practices, GitHub Actions, OpenAI APIs, Large Language Models, LangChain, Generative AI, Azure cloud ecosystem, Azure ML Studio, LLM security, Azure Foundry, CI-CD

Machine Learning, Distributed Systems, Jenkins, Kubernetes, Python, LangChain, LangGraph, LLamaStack, GraphRAG, InstructLab, RAG, RAFT, OpenShift AI

theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines

Predictive Modeling, Machine Learning, Amazon Web Services, Power Bi, Artificial Intelligence, Natural Language Processing, Data Mining, Apache Spark, Big Data, Deep Learning, Algorithms, R Programming Language, Data Visualization, Python Programming Language, SQL Programming Language, Statistical Modeling, Data Analysis

Ml, Recommender Systems, Machine Learning, Cpu, Gpu, Deep Learning, Computer Vision, Bayesian models, LLMs, generative AI, event driven architecture, Optimization, Statistics, statistical modelling techniques, deep neural networks

Java, Machine Learning, Natural Language Processing, Deep Learning, Pytorch, Azure, Kubernetes, Python, AWS, Generative AI, GPT, Llama, Transformers, BERT

Data Science, Machine Learning, Deep Learning, Algorithms, Python, SAS, Data Structures, Nlp, R, Data Analysis, Data Pipelines

Sql, Tensorflow, Deep Learning, Pytorch, Python, LLMs, long-term reward modeling, transformer architectures, ranking, multi-task learning, content-based techniques, collaborative filtering, hybrid approaches, candidate generation, embedding techniques, transfer learning, reinforcement learning, recommendation system algorithms, slate optimization, RLHF reward modeling, Experimental Design, bandits