Python with Machine Learning Engineer

 5+ years of python experience for scripting ML workflows
to deploy ML Pipelines as real time, batch, event

triggered, edge deployment
 4+ years of experience in using AWS sagemaker for
deployment of ML pipelines and ML Models using
Sagemaker piplines, Sagemaker mlflow, Sagemaker
Feature Store..etc.
 3+ years of development of apis using FastAPI, Flask,
Django
 3+ year of experience in ML frameworks & tools like
scikit-learn, PyTorch, xgboost, lightgbm, mlflow.
 Solid understanding of ML lifecycle: model development,
training, validation, deployment and monitoring
 Solid understanding of CI/CD pipelines specifically for ML
workflows using bitbucket, Jenkins, Nexus, AUTOSYS for
scheduling
 Experience with ETL process for ML pipelines with
PySpark, Kafka, AWS EMR Serverless
 Good to have experience in H2O.ai
 Good to have experience in containerization using Docker
and Orchestration using Kubernetes.