Python Data Engineer - Onsite

Responsibilities IncludeWork directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systemsDesign and implement frameworks and tools to streamline the machine learning processAutomate manual data collection and processing tasks to improve efficiencyLeverage software architecture and design patterns to develop fault tolerant microservicesConvert research-based machine learning models into production-ready softwareImplement processes to ensure coding standards, code quality, documentation, and test coverageQualificationsThe successful candidate will meet the following qualifications:7+ years of programming experience in PythonExpertise in developing and maintaining data pipelinesExperience in testing, packaging, and deploying machine learning modelsExperience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version controlExpertise in Object-Oriented Design Principals and Functional Programming PrincipalsExperience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3Experience in storage technologies including SQL relational databases and Object Storage such as AWS S3Experience in implementing distributed computing systemsExperience in designing modular, reusable software componentsExperience in developing API endpoints and microservicesKnowledgeable of MLOps PrinciplesKnowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow