Software Engineer (Python/ DataLake)
Summary
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.
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.
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 venessagoh@recruitexpress.com.sg
Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
We regret that only shortlisted candidates will be contacted.