Staff Analytics Engineer (AI & Predictive)

Stack

Responsibilities

• ▹Design, develop, and deploy traditional machine learning models (regression, classification, clustering, time-series forecasting, anomaly detection)
• ▹Perform feature engineering, model selection, training, validation, and performance tuning on large-scale enterprise datasets
• ▹Design and implement agentic AI workflows where autonomous or semi-autonomous agents orchestrate data access, ML inference, and decision logic
• ▹Build multi-step agent pipelines combining rules, ML models, and reasoning components
• ▹Design and develop Databricks-native applications (notebook-based apps, interactive dashboards, parameterized data/ML workflows)
• ▹Build data and ML services/APIs leveraging Databricks, Python, and Lakehouse capabilities
• ▹Operationalize ML models and agentic workflows into production pipelines
• ▹Implement model monitoring, drift detection, and retraining strategies
• ▹Own production ML models, agentic systems, and Databricks applications, including monitoring and troubleshooting

Requirements

• ▹5+ years of hands-on experience in data science, applied machine learning, or ML engineering, with ownership of production systems
• ▹Strong proficiency in Python for ML development, data processing, and application logic
• ▹Deep experience with traditional ML techniques (regression, classification, clustering, time series)
• ▹Proven experience building and deploying ML models in production environments
• ▹Hands-on experience with Databricks, including Databricks application development
• ▹Strong understanding of feature engineering, model evaluation, and explainability

Nice to have

• ▹Experience designing agentic AI systems or autonomous decision-making workflows
• ▹Familiarity with Lakehouse architectures, feature stores, and ML lifecycle management
• ▹Experience with MLOps practices, CI/CD, model monitoring, and retraining pipelines
• ▹Exposure to cloud platforms (e.g., AWS) and scalable ML infrastructure
• ▹Experience embedding ML and agent outputs into enterprise applications
• ▹Knowledge of data governance, access controls, and secure ML deployment

Soft skills

What we offer

• ▹Annual discretionary bonus program
• ▹Opportunity for annual RSU grants
• ▹Highly competitive benefits package

About the company

Qualcomm IT's Data Science team builds predictive analytics, machine learning, and agentic AI solutions that deliver real business outcomes through Databricks-native data applications.