Job Description
Role Overview
We’re building a multi-disciplinary engineering team that blends platform, application, and development expertise to deliver AI-driven analytics solutions. This role spearheads end-to-end execution—from requirement analysis to regional deployment. The position demands strong expertise in predictive modelling, time-series analytics, and scalable AI infrastructure, with a focus on driving operational efficiency and quality across global manufacturing operations
Key Responsibilities
- Strategic Leadership: Translate ambiguous business problems into clear, actionable data science strategies.
- Advanced Modeling: Design, build, and deploy machine learning algorithms, deep learning models, and forecasting systems.
- Cross-functional Collaboration: Work alongside data engineering, software, and MLOps teams to integrate models into production environments.
- Data Governance & Strategy: Identify new data sources, define company data assets, and ensure robust mode...
We’re building a multi-disciplinary engineering team that blends platform, application, and development expertise to deliver AI-driven analytics solutions. This role spearheads end-to-end execution—from requirement analysis to regional deployment. The position demands strong expertise in predictive modelling, time-series analytics, and scalable AI infrastructure, with a focus on driving operational efficiency and quality across global manufacturing operations
Key Responsibilities
- Strategic Leadership: Translate ambiguous business problems into clear, actionable data science strategies.
- Advanced Modeling: Design, build, and deploy machine learning algorithms, deep learning models, and forecasting systems.
- Cross-functional Collaboration: Work alongside data engineering, software, and MLOps teams to integrate models into production environments.
- Data Governance & Strategy: Identify new data sources, define company data assets, and ensure robust mode...