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

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

Django, Git, MLops, Google Cloud Platform, Docker, Flask, FastAPI, Python

Docker, Kubernetes, LangChain, LangGraph, AWS Bedrock, AWS SageMaker, CI CD tooling, modern monitoring solutions

data engineering , Prometheus, Grafana, Devops, Backend Development, Docker, Terraform, automation, Python, AWS, Weights Biases, Airflow, orchestration tools, Anyscale Ray, MLflow, ML-Ops, infrastructure-as-code tools, job schedulers, experiment tracking tools, model monitoring tools

data engineering , MLops, Gcp, Azure, AWS, LLM fine-tuning, Vector databases, Pipeline optimization, Ai, ML systems, Building PoC

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

object storage , stream processing , Databases, Apis, Git, Docker, Cloud Infrastructure, Python, experiment tracking, data pipelines, workflow orchestration, inference deployment, CI CD, model registry, evaluation pipelines, Production Monitoring, Streamlit