General Motors of Canada
Senior Software Engineer, Applied Analytics
General Motors of Canada, Mountain View, California, us, 94039
Overview
Employer Industry: Automotive Technology Why consider this job opportunity: Salary up to $205,000 Bonus potential based on company and individual performance Comprehensive benefits package including medical, dental, vision, retirement savings plan, and tuition assistance Opportunity for career advancement within a leading innovator in the automotive industry Collaborative environment focused on continuous learning and innovation Flexible work arrangement with remote/hybrid options for eligible candidates Responsibilities
Lead the deployment of scalable AI/ML-powered analytics and prognostics applications in a cloud environment Collaborate with data scientists and stakeholders to deliver applications that train and serve machine learning models Implement software validation, testing, and production monitoring processes to ensure quality and user satisfaction Work with partner teams on platform management and technology migrations Stay updated with new trends and technologies to enhance productivity and solutions Qualifications
Bachelor's degree in Computer Science, Data Science, or a related field Minimum of 5 years of hands-on experience delivering enterprise-scale software products Advanced proficiency in front-end (React, Angular) and back-end (Node.js, Python) development Deep understanding of hybrid-cloud and cloud-native software architecture and security Exceptional analytical and problem-solving skills along with strong communication abilities Preferred Qualifications
Experience with developing and deploying data pipelines Familiarity with Databricks Delta Lake, Mlflow, and Unity Catalog Experience integrating machine learning models and Databricks workflows #AutomotiveTechnology #SoftwareEngineering #AI #DataScience #CareerGrowth #RemoteWork We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Employer Industry: Automotive Technology Why consider this job opportunity: Salary up to $205,000 Bonus potential based on company and individual performance Comprehensive benefits package including medical, dental, vision, retirement savings plan, and tuition assistance Opportunity for career advancement within a leading innovator in the automotive industry Collaborative environment focused on continuous learning and innovation Flexible work arrangement with remote/hybrid options for eligible candidates Responsibilities
Lead the deployment of scalable AI/ML-powered analytics and prognostics applications in a cloud environment Collaborate with data scientists and stakeholders to deliver applications that train and serve machine learning models Implement software validation, testing, and production monitoring processes to ensure quality and user satisfaction Work with partner teams on platform management and technology migrations Stay updated with new trends and technologies to enhance productivity and solutions Qualifications
Bachelor's degree in Computer Science, Data Science, or a related field Minimum of 5 years of hands-on experience delivering enterprise-scale software products Advanced proficiency in front-end (React, Angular) and back-end (Node.js, Python) development Deep understanding of hybrid-cloud and cloud-native software architecture and security Exceptional analytical and problem-solving skills along with strong communication abilities Preferred Qualifications
Experience with developing and deploying data pipelines Familiarity with Databricks Delta Lake, Mlflow, and Unity Catalog Experience integrating machine learning models and Databricks workflows #AutomotiveTechnology #SoftwareEngineering #AI #DataScience #CareerGrowth #RemoteWork We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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