Staff AI & Predictive Analytics Engineer

Qualcomm; San Diego (CA); Hybrid; USD 142,000 - 213,000; Full time

Job summary

Qualcomm Incorporated in San Diego, CA, is seeking a Staff Analytics Engineer (AI & Predictive) to design, build, and operationalize predictive analytics and agentic AI systems. You will own end-to-end delivery from data prep to deployment and user-facing experiences, working across data science, ML engineering, and full-stack data apps.

The role emphasizes production-grade ML, Databricks app development, and strong ownership of end-to-end delivery with on-site work in San Diego.

Qualifications

• 5+ years of hands-on experience in data science, applied machine learning, or ML engineering.
• Strong proficiency in Python for ML development and data processing.
• Deep experience with traditional ML techniques and production model deployment.
• Hands-on experience with Databricks, including application development and pipelines.

Responsibilities

• Design, develop, and deploy traditional machine learning models, including regression, classification, clustering, time-series forecasting, and anomaly detection.
• Design and implement agentic AI workflows and multi-step pipelines for data access, ML inference, and decision logic.
• Develop Databricks-native applications, notebooks, dashboards, and parameterized ML workflows.
• Operationalize ML models and agentic workflows into scalable production pipelines with monitoring.
• Own production ML models and Databricks applications, ensuring reliability and governance.

Skills

Python

Databricks

ML techniques

Agentic AI

ML deployment

Feature engineering

Tools

Databricks

Job description

Qualcomm Incorporated in San Diego, CA, is seeking a Staff Analytics Engineer (AI & Predictive) to design, build, and operationalize predictive analytics and agentic AI systems. You will own end-to-end delivery from data prep to deployment and user-facing experiences, working across data science, ML engineering, and full-stack data apps.

The role emphasizes production-grade ML, Databricks app development, and strong ownership of end-to-end delivery with on-site work in San Diego.