Software Engineer Lead - Supply Chain (Python/ DataLake)

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Recruit Express Pte Ltd in Singapore is seeking a senior software engineer to lead the design and integration of an AI-driven supply chain platform. You will own end-to-end development, mentor engineers, and collaborate with clients to translate business pain points into scalable technical solutions.

The role requires 5+ years in software engineering with 3+ in AI/ML, expert Python, and experience with time-series forecasting, optimization, and cloud/MLOps.

Qualifications

• At least 5 years of software engineering experience, with 3+ years in AI/ML.
• Proven track record leading technical teams through multi-phase projects.
• Expert-level Python for ML modeling and backend systems.
• Strong knowledge of Prophet, LSTMs, Transformers and OR-Tools or Gurobi.
• Experience with Databricks, data lakes, and cloud infrastructure.
• Understanding of integrated supply chain domains: forecasting, procurement, warehousing, logistics.
• Consulting mindset to articulate roadmaps to executives.
• Excellent communication with both technical and business stakeholders.

Responsibilities

• End-to-End System Ownership—lead the development and integration of a comprehensive AI-driven supply chain platform.
• Deploy predictive models for inventory forecasting considering seasonality and lead-time variability.
• Build automated procurement systems to optimize vendor selection and PO generation.
• Develop optimization engines for routing, warehouse resource allocation, and distribution.
• Mentor engineers and promote best practices in code quality, architecture, and MLOps.
• Audit and redesign legacy workflows using Design Thinking to remove bottlenecks.
• Act as a technical authority in client engagements and translate business pain points into scalable requirements.
• Foster a collaborative, high-performance culture that aligns with corporate values.

Skills

Python ML

Time-series forecasting

Constraint optimization

Cloud platforms

MLOps pipelines

Data lakes

Leadership

Stakeholder communication

Education

Bachelor's degree in CS/OR/IE/Data Science

Tools

OR-Tools

Gurobi

Databricks

AWS/GCP/Azure

Job description

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.

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.