Machine Learning Engineer
This role involves building scalable data pipelines, operationalizing machine learning workflows, and partnering closely with data scientists to bring models into production.
* Develop and maintain data infrastructure that powers AI-driven insights across the organization.
* Create ETL/ELT pipelines using Python, modern data engineering frameworks, and Snowflake as a central data warehouse.
* Design and manage data workflows ensuring accuracy, scalability, and reliability.
* Work closely with data scientists to deploy, monitor, and tune machine learning models.
* Create feature engineering pipelines preprocessing workflows, and model-serving APIs.
Key requirements include:
* Design, develop, and maintain data infrastructure.
* Build, optimize, and maintain ETL/ELT pipelines.
* Architect and manage data workflows.
* Deploy, monitor, and tune machine learning models.
* Develop feature engineering pipelines.
As a Machine Learning Engineer, you will be responsible for driving data-driven decisions across the organization by leveraging AI/ML capabilities. This role requires strong technical skills in data engineering and machine learning, as well as excellent collaboration and communication skills.