AI/ML Engineer – Consumer Analytics We are seeking an AI/ML Engineer with a strong statistical background and hands-on experience in signal engineering and interpretation to support next best offer (NBO) and personalization use cases in the consumer industry. The role focuses on translating complex customer signals into actionable intelligence that drives targeted offers, engagement, and revenue growth.
Key Responsibilities
*Design, engineer, and interpret behavioral, transactional, and contextual signals for next best offer and next best action models
*Develop and productionize machine learning models using strong statistical and probabilistic techniques
*Work closely with business and analytics teams to translate consumer insights into measurable outcomes
*Build and maintain feature pipelines, model monitoring, and performance evaluation frameworks
*Ensure model explainability, robustness, and alignment with business and regulatory expectations
Required Skills & Experience
*Strong foundation in statistics, probability, and experimental design
*Hands-on experience in AI/ML model development (e.g., classification, propensity, uplift, recommendation models)
*Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases
*Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
*Experience working with large-scale consumer data and personalization or NBO platforms
Nice to Have
*Experience in retail, CPG, telecom consumer analytics
*Exposure to real-time or near-real-time decisioning systems
*Familiarity with MLOps, model monitoring, and cloud-based ML platforms