Senior Engineer (AI/ ML, Python, Data Science)

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Own and drive various Supply chain systems and process improvement- Example own master planning system and process and drive all changes , enhancements and projects related to that
• Design and Develop AI/ML based models for predictive analytics, classification, and generative AI applications to solve business problems in supply chain
• Collaborate with cross-functional teams to integrate AI models into production using MLOps practices for scalability and monitoring.
• Conduct data analysis, feature engineering, and maintain high-quality input data for optimal model performance.
• Stay up-to-date on the latest AI/ML advancements, with a focus on generative AI (e. g. , GPT etc. ) for innovative solutions.
• Design and build analytics tools to help supply chain and operations short and long term objectives.
• Conduct proof of concept, proof of technology. Experience in process re-engineering and make them more agile to address the dynamic business needs
• Lead workshops to drive testing, requirement gathering, solution discussion etc.
• Help and guide cross functional teams in planning activities like factory builds , order promising etc.
• Ability to do Trade-off analysis on different levers in Supply Chain
• Ability to collaborate with business partners to document business requirements and Business Process
• Analyse business requirements to create use cases and testing documentation
• Lead efforts to translate functional requirements into solutions, manage scope and estimated deliverables in all phases of the project
• Project Management Responsibility for all deliverables in all stages including solution design, analysis, coding, testing, and integration
• Understand existing business processes and technology to develop the to be and Align to create measurable business ROI
• Drive test planning for functional, Integration and user acceptance testing including workshops to conduct the tests
• Identify Gaps in the current Solutions and Project Manage the implementation of these Gaps working with IT
• Carrying out data and system analysis to identify technical debt/gaps and develop to-be architecture to provide scalability and flexibility to accommodate growing business needs
• Driving new solutions that can be implemented cross-functionally
• Developing key metrics around business impact and user acceptance