Good day,
We have immediate opportunity for Machine Learning Suite (MLS) TDM
Job Role: Machine Learning Suite (MLS) TDM
Job Location: Singapore
Experience- 8 Years - 14 Years
Notice Period: Immediate to 30 days.
About Company:
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
Diversity, Equity, and Inclusion
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Skills:
- Experience end-to-end projects for system implementation of Machine Learning Suite (MLS)
- Strong in driving project deliverables, actively tracking timelines, escalating issues when needed, and ensuring accountability across teams.
- Strong in Project Management, Financial Management, Application Management, Risk and Issue Management, Change Management and Resource Management
- experience in application architecture, development, system integration and software design
- Experience in Production Support Management, Incident and Problem Management
- Knowledge in networking, firewall, data migration, password encryption, SSO integration, and disaster recovery planning and testing
Responsibilities:
- Support Project/System implementation of Machine Learning Suite (MLS)
- Ensure solution design complies with enterprise design principles, security and control standards
- Convert business requirements to design document and other system documentation to capture key design decisions
- Able to conduct data mapping and process mapping with interfacing applications
- Create technical documents for the solutions
- Conduct root cause analysis of issues, review new and existing code and/or perform unit testing
- Work with Test Management teams to complete SIT/UAT as planned
- Manage project change request approval windows and deployment schedule
- Facilitate and provide technical and testing support before and after production deployment
- Manage external vendors for project delivery within schedule
Key Skills
Ranked by relevance
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- Posted
- Jul 25, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
- Company
- Synechron
Industries
Categories
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3 roles aligned with this opportunity
Software Engineer, Early Careers, PhD, Cloud AI
2026-04-06
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