Senior Machine Learning Engineer - AWS / Python / ETL

Mandatoty skill : Python experience and solid understanding of ML lifecycle.

This is a contract position with our client, Citizen Bank, located in Hyderabad.

We are specifically looking for a candidate who can commit to working four days a week on-site in Hyderabad.

Position : AIML_Python Enginner.

Responsibilities :

• 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 pipelines, Sagemaker mlflow, Sagemaker Feature Store.
• 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.

(ref : hirist.tech)