, Sql, Github, Hadoop, Clustering, Python, Big Data, Hypothesis Testing, Spark, Generative AI, experimentation, Time Series Forecasting, RAG Prompt Engineering, Classification, Traditional ML, Agentic AI, Regression

Machine Learning, Sql, Python, R, Ai

Pyspark, Azure Databricks, Sql, Tensorflow, Deep Learning, Azure ML, Numpy, Nlp, Pandas, Pytorch, Python, Scikit-learn, Forecasting, MLflow, anomaly detection, CI CD, ML deployment, Synapse, model tuning, ML techniques, Statistics, MLOps tools, feature engineering

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

Tensorflow, Nlp, Pytorch, Docker, Python, Azure ML, Kubernetes, vector search, SAM, Pinecone, CI CD, Whisper, cloud ML stacks, Vertex AI, video transformers, LLaVA, LangChain, multimodal LLM frameworks, ViT, speech models, BLIP, SageMaker, Cv, FAISS, Weaviate, LlamaIndex

Data Science, Machine Learning, Generative AI, Simulation, Optimization

Numpy, Pandas, Docker, Kubernetes, Python, Sql, Kubeflow, Scikit-learn, MLOps tools, MLflow

Aws Services, Hadoop, Apache Spark, Kafka, Sql, Redis, Python Scripting, Docker, Unix Shell, Rest Apis, Python, Kubernetes, Airflow, Flink, ETL processes, Big Data Engineering, Spark pipelines, Control-M

Python, Sql, Debiasing Strategies, Boosting Algorithms, Learning to Rank Algorithms, Multi-objective Ranking