- 991C ALEXANDRA ROAD West Region (Singapore) Singapore
工作地点
职位描述
岗位职责
Responsibilities
Design and develop modular, production-ready code deployable across cloud (AWS, GCP, Azure) or on-prem environments.
Re-architect existing systems to transform complex business requirements into scalable software components.
Build AI-driven systems that integrate research models into robust, scalable business solutions.
Drive engineering best practices across feature development, architecture, coding standards, and DevOps/MLOps.
Conduct code reviews and ensure deliverables meet security, performance, and maintainability standards.
Bachelor’s or Master’s in Computer Science, AI, Operations Research, or related field.
4+ years in AI/ML or software engineering, with a focus on production systems.
Experience with infrastructure as code on a major cloud platform.
Hands-on experience deploying software using Docker, Kubernetes, and CI/CD pipelines.
Strong background in microservices, API design, and system architecture.
Proficient in Python and familiar with:
SQL (MySQL, PostgreSQL) and NoSQL (e.g., MongoDB)
Testing frameworks like PyTest
Nice to have: experience deploying AI models to production, orchestration tools (Airflow, Prefect, Ray), reporting tools (Tableau, Holistics), or supply chain AI solutions (inventory optimization, demand forecasting).
If you arepassionate about this role and meet the above requirements, please don’thesitate to apply. Please note that only shortlisted candidates will becontacted. Appreciate your understanding. Data provided is for recruitmentpurposes only.
About Us
Dada Consultants wasestablished in 2017, with the commitment of providing the best recruitmentservices in Singapore. We are comprised of a dynamic head-hunting teamdedicated to sourcing for highly competent professionals in IT industry. Weprovide enterprises with customized talent solutions, and bring talents tocareer advancement.
Dada Consultants Pte Ltd
Website: *************
EA License No.: 18S9037 | EA Registration No. R25128548
Business Registration Number: 201735941W
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