Machine Learning Engineer

Stefanini Group is hiring!

Stefanini is looking for a Machine Learning Engineer (Dearborn, MI)

For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com

We are seeking a Machine Learning who can build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support agentic initiatives. Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support agentic initiatives.

Responsibilities-

Optimize existing ML solutions for performance, security, and cost-effectiveness -

Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. -

Build data pipelines to monitoring quality of data and performance of analytical models and agentic solutions. -

Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD. -

Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process. -

Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards. -

Enhance and maintain the DevOps capabilities of the data platform. -

Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability. -

Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD). -

Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle. -

Perform any necessary data mapping, data lineage activities and document information flows. -

Monitor the production pipelines and provide production support by addressing production issues as per SLAs. -

Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models/solutions developed by data scientists and AI engineers.