AI & Analytics Implementation Specialist
Core
Bridge the gap between analytical model development and production deployment, building scalable automated analytics workflows and applying Agentic AI frameworks to streamline reporting and validation.
Role type
AI & Analytics Implementation Specialist
Builds
Scalable, automated analytics workflows and production-ready predictive models
Domain
Automotive / Data Engineering & AI
Deliverable
production ML models | infrastructure
Required skills
SAS (RealTime Decision Manager), Java, SQL, Python, Relational Database Management Systems (DB2), Google Cloud Platform (GCP), Agentic AI, GenAI tooling
Preferred skills
IT testing environments, regression testing, automated validation, Waterfall, Agile, PDO methodologies
Technologies
SAS, Java, SQL, Python, DB2, BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run, Pub/Sub
Responsibilities
Implement, validate, test, and productionalize predictive models and risk strategies; Design and develop analytics solutions integrating models with vendor tools and GCP services; Collaborate with Data Scientists and Business teams for model transition; Identify opportunities for automation and GenAI tooling; Provide data analysis and on-demand reporting; Develop reusable automation frameworks for data comparison and summarization; Design automated pipelines supporting testing workflows.
Seniority
Mid-level, hands-on IC
