Software Engineer Lead (Python/ DataLake)
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.
Requirement
- 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 [email protected]
Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
We regret that only shortlisted candidates will be contacted.