Machine Learning, Pandas, Docker, Spark, Sql, Python, Kubernetes, Generative AI, LLM technologies

Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

Apis, Sql, Deep Learning, Nlp, MLops, Spark, Databricks, Kubernetes, Python, GenAI, Feature Engineering, LLMOps, RAG, Experimental Design

Data Science, Predictive Modeling, Eda, Python, Omics, R, Geonomics, Clinical Analysis

Pyspark, Tensorflow, Numpy, Git, Pandas, Pytorch, XGBoost, Keras, Python, scikit-learn, LightGBM, TensorFlow Serving, TensorRT, MLflow, ONNX, Kubeflow, TorchServe, AWS ML pipelines, CatBoost

Api Development, Keras, Numpy, Pytorch, Deep Learning, Tensorflow, Python, Pandas, MLops, concepts and algorithms, RESTful microservices

Pandas, XGBoost, Spark, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, model observability, LIME, Delta Lake, explainability frameworks, drift detection

Databricks, Java, Microservices, Golang, Machine Learning, AWS, Python, Scala, Spark, Statistics, GenAI, MLFlow, LangChain, distributed data processing frameworks, LangGraph

Arm, Sql, MLops, Terraform, Microsoft Azure, Azure Machine Learning, Python, Infrastructure as Code, ServiceNow AI ML, Virtual Agent, API-based integrations, Azure OpenAI, Kore.ai XO Platform, Azure AI Services, CI CD pipelines, Predictive Intelligence, Bicep