Recruit Express
Software Engineer (Python/ DataLake)
Leads end-to-end development of an AI-driven supply chain operating platform: building inventory demand-forecasting models, automated procurement, and logistics optimization engines, while mentoring engineers and partnering with clients. Core stack is expert Python, forecasting/optimization tools (Prophet, OR-Tools), and data lake platforms like Databricks on cloud.
- Compensation
- SGD 8K–SGD 9.5K / mo
- Location
- Central Region
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Degree in Computer Science, Operations Research, Industrial Engineering, or Data Science
- 5 years of software engineering experience
- 3+ years specifically in AI/ML development
- Proven track record leading technical teams through complex, multi-phase project lifecycles
- Expert-level Python for both ML modeling and backend systems
- Proficient in time-series forecasting (Prophet, LSTMs, Transformers)
- Proficient in constraint-based optimization (OR-Tools, Gurobi)
- Sound knowledge of databases/data lakes/data platforms (e.g. Databricks) setup and implementation
- Comprehensive understanding of integrated supply chain: inventory forecasting demand, purchasing, warehousing, last-mile/distribution logistics
- Proven record of delivering quantifiable ROI (inventory cost reduction, delivery speed, procurement automation)
- Consulting mindset: process discovery, design-thinking workshops, articulating technical roadmaps to executives
- 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
- Exceptional stakeholder management and communication skills
Full description
Salary: $8,000 – $9,500 per month
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: 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.