Machine Learning, MLops, Artificial Intelligence, Natural Language Processing, Information Retrieval, Python, Sql, Generative AI, Automation Workflows, Data Pipelines

Github, Sql, Python Programming, Data Profiling, Data Governance, Databricks Machine Learning, MLOps Understanding, Data Science Understanding, Model Registry, Jobs Pipeline, Batch Inference, Model Serving, MLflow, Unity Catalog

Machine Learning, Databricks, Sql, Python, Deep Learning, Graph Modelling, Knowledge Graphs, Identity Access Graph

Machine Learning, React, Pytorch, Python, Sql, AWS, Statistics and Probability, Scikit-learn, APIs and integration

Cloud Architecture, Databricks, Sql, Deep Learning, Machine Learning, Python, LLMs, Evaluation frameworks, MLOps tools, AI features for model inference, RAG systems, Identity Access Graph, Knowledge Graphs, Graph Modelling

data preparation , , prophet , Sql, Tensorflow, Pandas, Data Science, Pytorch, Python, Arima, Docker, scikit-learn, Sagemaker, MLOps tools, Airflow, MLflow, data quality assessment, LSTMs, statsmodels, LightGBM, time-series forecasting, AWS Cloud Platform, Transformers

Java, Nosql, Machine Learning, Perl, Natural Language Processing, Big Data, Python, Document Retrieval, Map-Reduce, Search Engine Technologies

Tensorflow, Pytorch, Spark, Sql, Python, Clustering, Scikit-Learn, Regression, Classification, machine learning techniques

Apache Spark, Sql, Pytorch, Docker, Databricks, Python, Model Serving Frameworks, AWS ecosystem, SHAP, scikit-learn, MLflow, TF Serving, ONNX, Cloud Platforms, LIME, Kubeflow, MLOps tools, Model Explainability tools