Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for face recognition, object segmentation detection / classification, optical character recognition, and fraud detection
Assist in dataset preparation to enhance the models
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Act as a primary technical counterpart and architecture partner - designing, coding, and deploying a suite of custom, intelligent AI tools, and critically reviewing design decisions.
Enhance our system's ability to manage context windows, optimize token usage, and reduce attention noise when connecting LLMs to large codebase repositories.
Design and extend graph based code and document representations (e.g. property graphs, AST derived structures) and hybrid retrieval pipelines (dense + sparse + reranking/fusion) over vector databases.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
...
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded
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Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for face recognition, object segmentation detection / classification, optical character recognition, and fraud detection
Assist in dataset preparation to enhance the models
...