Machine Learning, Sql, Databricks, Python, embeddings, RAG architecture, LLMs, Data Processing, vector databases, ETL Data Engineering, prompt engineering, LLM applications, AI concepts

probability , Logistic Regression, Clustering, Sql, XGBoost, Python, AWS, Computer Vision, trees, Statistics, calculus, anomaly detection, Test-Driven Development, Geometric Computation, linear algebra

Apache Spark, Sql, Tensorflow, Pytorch, Docker, XGBoost, Databricks, Kubernetes, Python, CrewAI, scikit-learn, Feature Store, LightGBM, RAGAS, MLflow, LangSmith, Unity Catalog, AutoGen, LangGraph, Delta Lake

Machine Learning, Prometheus, Grafana, Datadog, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Apache Spark, Sql, Azure ML, Git, Gcp, MLops, Azure, Kubernetes, MLflow, CI CD, Kubeflow, Google Vertex AI, Scikit-learn, AWS SageMaker

Azure Machine Learning, Synapse, Logic Apps, Microsoft Azure AI Foundry, Cognitive Services, Azure AI ML technologies, AI pipelines, AI governance, OpenAI, compliance frameworks, observability

Sql, Deep Learning, AI ML, Logging, Machine Learning, MLops, Kubernetes, Python, Azure, Docker, Api Development, ML framework, model drift detection, MLflow, GenAI, Monitoring, observability, CI CD pipelines

Sql, Pytorch, Python, Tensorflow, Numpy, Pandas, Scikit-learn

Kubernetes, Sql, Django, BigQuery, MySQL, FastAPI, Nosql, Python, Docker, Flask, PostgreSQL, MongoDB, RAG pipelines, Cloud Run, Embedding vector databases, Google Cloud Platform GCP, LLM integrations, CI CD pipelines, Prompt engineering

Sql, AWS, Api Testing, Python, Azure, JIRA, Gcp, Selenium, Git, Great Expectations, MLflow, Model Validation Testing

Machine Learning, Api Development, Logging, Sql, Deep Learning, MLops, Docker, Kubernetes, Python, Generative AI, MLflow, Monitoring, ML framework, CI CD pipelines, Azure Cloud Stack, model drift detection, observability