About the role
Key Responsibilities
- Identify high-impact AI, automation, and productivity opportunities across commercial and operations teams
- Translate business problems into technical solutions, system requirements, and implementation plans
- Build and prototype AI applications, automation workflows, data products, and internal tools
- Develop solutions using LLMs, APIs, Python, SQL, workflow automation, and modern AI development tools
- Work with data, product, BI, and engineering teams to integrate and scale successful solutions
- Analyze operational data and quantify business impact, productivity gains, and ROI
- Run pilots, iterate based on user feedback, and drive adoption across business teams
- Support selected strategic and operational Special Projects requiring structured analysis and rapid execution
Qualifications
- 3–6 years of experience in one or more of the following:
- Machine Learning / Data Science
- AI or Data Engineering
- Software / Full-Stack Engineering
- Applied AI / Automation
- Strong programming capability, ideally in Python and SQL
- Experience building applications, data pipelines, APIs, automation workflows, or machine learning / AI solutions
- Familiarity with LLMs, generative AI, agentic workflows, RAG, APIs, or AI application development
- Comfortable rapidly prototyping and deploying working solutions rather than only producing requirements or recommendations
- Strong analytical and problem-solving skills with the ability to understand business processes and translate them into technical solutions
- Ability to communicate effectively with both technical and non-technical stakeholders
- Comfortable operating in a fast-moving environment with ambiguous problems and changing priorities
Nice to Have
- Experience with JavaScript / TypeScript, React, cloud platforms, Git, Docker, n8n, Google Apps Script , or similar technologies
- Experience using tools such as Claude Code, Codex, GitHub Copilot, ChatGPT , or other AI coding platforms
- Experience deploying AI applications or automation into production
- Experience with e-commerce, marketplaces, commercial operations, or large-scale operations
- Previous startup, consulting, special projects, or business transformation experience
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