Senior Feature Engineer (AI)

Location: Remote; candidates living within a specified mile radius of a GM hub are expected to report to the hub three times a week or at a frequency set by the manager. The role does not provide immigration-related sponsorship, and applicants requiring GM sponsorship now or in the future are not eligible.

Company

hirify.global develops automotive products and technologies focused on improving safety, emissions, congestion, reliability, and performance.

What you will do

• Design, develop, and operate scalable feature engineering pipelines for machine learning model development and production inference.
• Build feature transformations with Python, SQL, Apache Spark, PySpark, and Spark SQL across large distributed datasets.
• Develop and manage Databricks notebooks, jobs, workflows, Delta Lake assets, and Unity Catalog integrations.
• Establish a governed feature store supporting feature reuse, versioning, lineage, and training-serving parity.
• Implement CI/CD, automated testing, deployment, rollback, monitoring, and proactive resolution of pipeline failures.
• Collaborate with data scientists, ML engineers, data engineering teams, and platform teams to deliver reliable production features.

Requirements

• 5+ years of experience in feature engineering, data engineering, or ML engineering supporting AI/ML model development.
• Strong hands-on experience with Databricks, Spark clusters, notebooks, Delta Lake, workflows, and jobs.
• Proficiency in Python, SQL, Apache Spark, pandas, PySpark, and modular pipeline design.
• Experience building CI/CD pipelines and implementing data quality validation, monitoring, alerting, drift detection, and anomaly detection.
• Understanding of ML workflows, feature quality, model performance, Git, and collaborative software development.
• GM immigration sponsorship is not available; candidates must not require current or future immigration sponsorship or related work authorization support.

Nice to have

• 8+ years of experience in data engineering.
• Experience with vehicle telematics, battery health data, or embedded systems.
• Familiarity with machine learning workflows and model deployment.
• Experience with real-time streaming technologies such as Kafka or Delta Live Tables.

Culture & Benefits

• Remote work arrangement with possible recurring hub attendance based on the candidate's proximity to a GM hub.
• Employee well-being and total rewards support from the first day.
• Focus on inclusion, belonging, safety, and equitable employment practices.
• Reasonable accommodations are available during the job search and application process.

Hiring process

• Applicants may complete a role-related assessment and pre-employment screening where applicable.