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Metro location and reputable global employer attract many qualified senior ML candidates.
Requires deep ML, time-series forecasting and agentic AI experience, limiting cross-industry transferability.
Explicit 12+ years requirement plus deep ML, forecasting, and infrastructure requirements make filters highly strict.
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Own and drive end-to-end AI/ML software development lifecycle for supply chain solutions, including architecture, design, and delivery of advanced ML systems.
Lead technical efforts and mentor junior developers while ensuring code quality, maintainability, and scalability in a fast-paced environment.
Design and build AI/ML solutions with a focus on large-scale, production-grade systems leveraging LLMs and agentic AI workflows in supply chain orchestration.
Bachelor’s degree or higher in Computer Science or related field.
Minimum 12+ years of experience in enterprise software development with strong software engineering skills.
Experience with Python-based ML software development, including debugging, testing, and production deployment.
Proven system design and architecture skills for scalable, maintainable ML-driven systems, specifically in time series forecasting using LightGBM, AutoGluon, or similar tools.
Senior technical leader capable of guiding architecture and mentoring teams in ML software development for complex business domains like supply chain.
Experienced in integrating agentic AI tools and modern AI frameworks to accelerate feature delivery and automate workflows.
Comfortable working cross-functionally and communicating technical concepts to both technical and non-technical stakeholders with strategic impact focus.