Python & Data Engineer (Singaporean only, Perm role, Expert-level Python, Databases, up to $9500) #IRT
Summary
Lead Python & Data Engineer building an AI-driven supply chain platform covering inventory forecasting, procurement automation, and logistics optimization using expert-level Python, time-series forecasting (Prophet, LSTMs, Transformers), OR-Tools/Gurobi, Databricks, and cloud infrastructure.
We are hiring and the details of the position are:
Job title: Python & Data Engineer (Singaporean only, Perm role, Expert-level Python, Databases, up to $9500) #IRT
Location: Gul circle
Arrangement: This is an individual contributor role
We are seeking a visionary lead python & data engineer to bridge the gap between advanced AI technology and mission-critical supply chain operations. You will spearhead our cross-functional team of software and AI application developers to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem.
Key Responsibilities
- End-to-End System Ownership - Lead the development and integration of a comprehensive AI-driven supply chain operating platform covering:
- Inventory Forecasting Demand: Deploy sophisticated predictive models to analyze inventory-specific demand patterns, incorporating seasonality, market trends, and lead-time variability to ensure optimal stock levels and availability.
- Procurement Management: Build automated, intelligent procurement systems that optimize vendor selection, purchase order generation, and cost-efficiency.
- Logistics Operations: Develop optimization engines for route planning, warehouse resource allocation, and real-time distribution efficiency.
- Strategic Leadership: Mentor a team of engineers, championing best practices in code quality, system architecture, and MLOps.
- Workflow Transformation: Utilize Design Thinking to audit, redesign, and automate legacy workflows. Ensure that process re-engineering and AI implementation work in tandem to eliminate bottlenecks.
- Customer& Stakeholder Partnering: Act as a technical authority in client-facing engagements. Translate complex business pain points into scalable technical requirements that deliver immediate business value.
- Cultural Leadership: Embody our corporate culture in all interactions, fostering a collaborative, transparent, and high-performance team environment.
Job requirements
- Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
- Experience: At least 5 years of software engineering experience, with 3+ years specifically in AI/ML development. Proven track record of leading technical teams through complex, multi-phase project lifecycles.
- Technical Proficiency: Expert-level Python for both ML modeling and backend systems. Proficient in time-series forecasting (Prophet, LSTMs, Transformers) and constraint-based optimization (OR-Tools, Gurobi). Have sound technical knowledge and skills related to databases/data lakes/data platforms (e.g.Databricks) setup and implementation.
- Domain Expertise: Comprehensive understanding of the integrated supply chain, specifically regarding the nuances of inventory forecasting demand, purchasing, warehousing and last-mile/distribution logistics. Proven record of delivering quantifiable ROI (e.g., reduction in inventory holding costs, improvements in delivery speed, or automated procurement throughput).
- Consulting Mindset: Ability to conduct process discovery, facilitate design-thinking workshops, and articulate technical roadmaps to non-technical executive stakeholders.
- Engineering Rigor: Deep knowledge of cloud infrastructure (AWS/GCP/Azure),containerization, and MLOps pipelines (CI/CD for data and model versions).Direct experience integrating AI solutions with major ERP (SAP, Oracle) or WMS platforms.
- Communication: Exceptional stakeholder management skills; capable of navigating complex conversations with both technical developers and business clients.
Interested applicants please send your resume to rita@recruitexpress.com.sg and look for:
Rita Shi Tianhe
Recruit Express Pte Ltd
EA License No: 99C4599
EA Registration Number: R26162019
We regret that only shortlisted candidates will be contacted