Tensorflow, Git, Pytorch, MLops, Docker, Flask, FastAPI, Python, Kubernetes, AWS, Airflow, vector databases, embedding models, Sagemaker, Streamlit

Aws Lambda, Python Automation, Cloudformation, Jenkins, Git, MLops, Docker, Terraform, Databricks, Training Pipelines, Feature Store, MLflow, Kubernetes EKS, Model Retraining, SageMaker, Model Monitoring, Drift Detection, Model Deployment, Kubeflow, Inference Pipelines, CI CD for ML

MLops, Spark, Databricks, Python, ML platform engineering, Airflow, workflow orchestration, Kubeflow, Delta Lake, MLflow, Metaflow

Performance Monitoring, Python, Agentic AI systems, Data ML libraries, Generative AI, LLMs, RAG vector databases, Multi-agent systems

Docker, Databricks, Azure, Kubernetes, Python, Sql, ML Deployment Architecture, CI CD, Containerisation

MLops, Linux, Terraform, Python, CrewAI, LangGraph, AutoGen

Prometheus, Elk Stack, Artifactory, Grafana, Docker, Gitlab, Kubernetes, Python, AWS, TensorFlow Serving, Gitflow, TorchServe, ML frameworks

Devops, MLops, shadow deployment strategies, Git and enterprise version control, containerization and orchestration, drift detection, ML engineering, model governance frameworks, responsible AI practices

Apache Airflow, Github, Terraform, Python, AWS, MLflow, Ray, Kubernetes EKS

Machine Learning, Tensorflow, Jenkins, Gcp, Pytorch, MLops, Docker, Keras, Azure, Python, Kubernetes, AWS, Airflow, Bitbucket pipelines, API-based application architecture, Flyte, serverless architectures, Sagemaker, GitHub Actions, Kubeflow, CICD orchestration frameworks, MLFlow