Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Location: Dearborn, MI (Hybrid) Employment Type: Full-Time Job Description: We are seeking a Senior Machine Learning Engineer with strong expertise in MLOps, cloud data engineering, and scalable ML pipelines. The ideal candidate will have hands-on experience building streaming and batch data pipelines on Google Cloud Platform, optimizing ML solutions, and supporting production-grade AI/ML platforms in an Agile environment. Key Responsibilities: Build s

Job Description: Employees in this job function are responsible for designing, building, deploying and scaling complex self-running ML solutions in areas like computer vision, perception, localization etc. They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies, statistics, and coding for tool building and analysis. Key Responsibilities: Collaborate with business and technology stakeholders to understand current and future ML requirem

Job Title: Google Cloud Platform Data Engineer Overview We are seeking a hands-on Google Cloud Platform Data Engineer to support the design, development, and maintenance of cloud-based data pipelines and data solutions. This role will focus on building reliable data ingestion and transformation processes, supporting analytics use cases, and improving the performance, quality, and efficiency of data workflows in Google Cloud Platform. Key Responsibilities Design, develop, and maintain data pipel

Job#: 3034035 Job Description: Role: ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description: This role focuses on building and scaling enterprise-grade ML Ops and data engineering solutions to support connected vehicle data and agentic AI initiatives. The individual will design, implement, and optimize data pipelines and machine learning operations in a cloud-native environment, ensuring performance, reliability, and governance at scale. Key Responsib