Machine Learning, Generative AI, Deploying machine learning models in cloud environments, Data preprocessing techniques, Python Programming Language, Feature engineering

Logging, Tensorflow, Pytorch, Docker, Python, Databases, Apis, Devops, MLops, System Design, Hugging Face APIs, LoRA training, workers, observability, fine-tuning, adapters, cloud platforms, Monitoring, model-serving tools, inference optimization, queues, async workflows, GPU servers, dataset preparation

Pyspark, Azure Databricks, ELT, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, Etl, data pipelines, scikit-learn, Delta Lake, data lakehouse architecture, Machine Learning algorithms and techniques

Python, Devops, CI CD pipelines

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

Pyspark, Azure Databricks, ELT, Tensorflow, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, AWS, Etl, data pipelines, scikit-learn, Delta Lake, data lakehouse architecture, Machine Learning algorithms and techniques