AI/Machine Learning Engineer

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The AI and Machine Learning Engineer is responsible for designing, building, and operating production-grade ML systems that deliver measurable business outcomes. This senior individual contributor role partners with data engineering, software development, product, and business stakeholders to translate complex business problems into reliable, scalable AI solutions. The role owns the full ML lifecycle and contributes to the adoption of emerging techniques including generative AI and foundation models.

• Design, develop, and deploy scalable ML models and AI systems across domains including dynamic pricing, revenue management, forecasting, classification, recommendation systems, and NLP.
• Own the full ML lifecycle from problem definition to deployment, monitoring, and iteration.
• Build and productionize pricing and revenue models balancing revenue, margin, conversion, and regulatory constraints.
• Partner with data engineers to design and maintain robust data pipelines.
• Collaborate with stakeholders to translate requirements into technical solutions with clear success metrics.
• Design and execute experiments (A/B tests, causal inference, bandits) to evaluate real-world impact.
• Ensure strong model governance including documentation, versioning, monitoring, and compliance.
• Monitor deployed models for performance degradation, bias, and drift and implement mitigation strategies.