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

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

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

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

S3, Elk, Prometheus, Grafana, Tensorflow, Pytorch, Python, Apache Spark, Azure Machine Learning, Kubernetes, Airflow, HashiCorp Vault, MLflow, Feast, OpenSearch, Vertex AI, Kubeflow, Keycloak, Scikit-learn, Jaeger, Iceberg, SageMaker, Fluentd, MinIO, Delta Lake, KServe, GCS

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