vertex , pruning , Machine Learning, Deep Learning, Kubernetes, AWS, Generative AI, Model Optimization Techniques, Distributed Training, Inference Infrastructure, Model Training, Quantization, Caching, SageMaker, Cloud ML Infrastructure, MLOps Infrastructure, Data Fabric

PostgreSQL, Prometheus, API design, Grafana, AI ML, Redis, Nosql, Typescript, Tdd, Docker, Reactjs, Shell scripting, Security Compliance, Kubernetes, Python, Azure DevOps, Etl, SRE fundamentals

Pytorch, Java, Tensorflow, Python, R, NLP techniques

Sql, Tensorflow, Numpy, Nlp, Git, Pytorch, MLops, Pandas, Gcp, Docker, Python Programming, Azure, AWS, Computer Vision, Generative AI, LLMs, Scikit-learn

GenAI., Machine Learning, Nlp, Python, Deep Learning, Ai

Pyspark, Sql, Pandas, Gcp, Azure, Python, AWS, Airflow, CI CD Automation, Cloud-based AI ML Platforms, Data Pipelines, ETL ELT Workflows, MLflow, Scikit-Learn, Machine Learning Model Deployment, VADER Sentiment, Dataiku, Vertex AI, Kubeflow, MLOps Practices

Artificial Intelligence, Machine Learning, Core Python, Python, Generative AI, Large Language Models, Llm, Generative AI Applications, RAG, Retrieval-Augmented Generation

Devops, Github, Prometheus, Grafana, Kubernetes, Event Monitoring System, AWS AI Services, Generative AI, Data Observability, Machine Learning Operations, SRE Observability