Job Description & Requirements
Responsibilities
- Design and build modular, portable, productionready code that runs on any cloud (AWS, GCP, Azure) or onpremise.
- Reengineer our existing platform to turn complex business and retail needs into reusable, scalable components.
- Create AIdriven modules that integrate research models into reliable, scalable business solutions.
- Drive feature cycles, enforce architecture patterns, coding standards, and DevOps/MLOps best practices across the team.
- Conduct code reviews, promote engineering excellence, and ensure all deliverables meet security, performance, and maintainability requirements.
Requirements
- Bachelor's or Master's in Computer Science, AI, Operations Research, or a related field.
- 4+ years building and shipping software systems.
- Experience provisioning infrastructure as code on at least one major cloud provider.
- Comfortable deploying software in cloud and onprem environments using Docker, Kubernetes, and CI/CD pipelines.
- Background designing microservices, APIs, and system architectures.
- Strong Python skills and familiarity with:
- SQL (MySQL, PostgreSQL) & NoSQL (e.g., MongoDB) databases
- Testing frameworks such as PyTest for unit/integration testing
- Experience deploying AI models to production, using orchestration tools (Airflow, Prefect, Ray, etc.) and reporting tools (Tableau, Holistics) is a plus.
- Prior work on inventory optimization, demand forecasting, or supplychain AI solutions is a plus.
What We Offer
- Ownership of a core AI product from day one, shaping its direction.
- A collaborative, innovationfirst culture that values speed, integrity, and technical depth.
- Competitive compensation.
If you are passionate about this role and meet the above requirements, please don't hesitate to apply. Please note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.
Dada Consultants Pte Ltd
Website: www.dadaconsultants.com
EA License No.: 18S9037 | EA Registration No.: R1332294
Business Registration Number: 201735941W
