Senior Machine Learning Engineer - AWS/Python/ETL

<p><p class="">Mandatoty skill : Python experience and solid understanding of ML lifecycle.<br/><br/>This is a contract position with our client, Citizen Bank, located in Hyderabad.<br/><br/>We are specifically looking for a candidate who can commit to working four days a week on-site in Hyderabad.<br/><br/>Position : AIML_Python Enginner.<br/><br/><b>Responsibilities :</b><br/><br/></p><p class="">- 5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment.<br/><br/></p><p class="">- 4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker pipelines, Sagemaker mlflow, Sagemaker Feature Store.<br/><br/></p><p class="">- 3+ years of development of apis using FastAPI, Flask, Django.<br/><br/></p><p class="">- 3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.<br/><br/></p><p class="">- Solid understanding of ML lifecycle : model development, training, validation, deployment and monitoring.<br/><br/></p><p class="">- Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling.<br/><br/></p><p class="">- Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless.<br/><br/></p><p class="">- Good to have experience in H2O.ai.<br/><br/></p><p class="">- Good to have experience in containerization using Docker and Orchestration using Kubernetes.<br/></p><br/></p> (ref:hirist.tech)