- Design, build, and operate the Decision Intelligence Engines that power Addi’s personalized customer journeys.
- Transform Addi’s Shop into an automated, AI-driven ecosystem by deploying State-of-the-Art (SOTA) architectures, including Sequential Deep Learning and LLMs to optimize customer LTV, activation, and retention in real-time.
- Design and maintain segmentation models based on behavior, performance, lifecycle stage, and growth potential.
- Design, train, and deploy models to predict customer behaviors and risks, ensuring outputs are interpretable and segment-aware.
- Design and deploy LLM-based solutions for customer growth, treating them as production systems with strong guardrails.
- Develop and Implement ML Models to analyze customer behavior, optimize marketing strategies, and improve overall engagement with Addi’s platform.
- Manage Data Pipelines and Model Deployment in collaboration with data engineering teams.
- Monitor and Evaluate Model Performance, iterate to improve accuracy, scalability, and overall performance.
- Collaborate with product managers, marketing teams, and stakeholders to translate data insights into actionable strategies.
- Innovate by proposing ML models, algorithms, or tools that enhance customer experience and optimize product recommendations.
- Conduct A/B Testing to assess the impact of different offers, product recommendations, and marketing strategies.
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