Software Developer (Python/ DataLake) #IFL

Recruit Express Pte Ltd; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Recruit Express Pte Ltd is seeking an experienced AI/ML lead to own and drive an AI-driven supply chain platform. You will oversee development, integration, and performance across inventory forecasting, procurement, and logistics, while mentoring engineers and aligning technical work with business goals.

The role requires 5+ years in software engineering with 3+ years in AI/ML, strong Python and forecasting skills, and experience with ERP/WMS integrations.

Qualifications

• 5 years of software engineering experience, with 3+ years in AI/ML development.
• Experience leading technical teams through complex, multi-phase project lifecycles.
• Expert-level Python for ML modeling and backend systems; strong proficiency in time-series forecasting and optimization.
• Experience integrating AI solutions with ERP/WMS platforms (SAP/Oracle).

Responsibilities

• Lead the development and integration of an AI-driven supply chain platform.
• Mentor engineers, enforce code quality and robust system architecture.
• Translate business pain points into scalable technical requirements for clients.
• Drive design-thinking to redesign legacy workflows and enable AI-enabled automation.
• Collaborate with clients and stakeholders to deliver tangible business value.

Skills

Python

ML development

Time-series forecasting

Optimization

Cloud computing

Data platforms

Stakeholder communication

Leadership

Education

Degree in Computer Science or related discipline; Operations Research; Industrial Engineering or Data Science

Tools

Databricks

OR-Tools

Gurobi

Prophet

AWS/GCP/Azure

Job description

Only Singaporeans - Due to Gov project and Clearance Requirement

Fully onsite role - near Tuas

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.