Senior Solutions Engineer AI/ML, Integrations & Deployment

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RiDiK (a Subsidiary of CLPS) is seeking a seasoned software professional to drive design, implementation, and testing across multi-stream solutions for banking integrations. You will translate requirements into working code, configurations, and end-to-end solutions with a focus on quality and performance.

The role requires hands-on experience in AI/ML, DevOps, and cloud platforms, plus strong analytical and communication skills to collaborate with cross-functional teams and banks.

Qualifications

• Bachelor's degree in a technical field and strong academic record.
• 6-9 years of hands-on experience in software development, system integration, or technical consulting.
• Proven ability to design and implement complex technical solutions across multiple workstreams.
• Hands-on experience with AI/ML, DevOps, cloud platforms, and data integration patterns.

Responsibilities

• Analyse user requirements and translate them into functional designs, configuration documents, and detailed specifications.
• Develop, configure, and optimize technical solutions for error handling, AI Ops, or feature flag management.
• Implement integrations with BANK systems (API, backend services, databases, Kafka, monitoring tools).
• Write clean, maintainable, well-documented code following best practices.
• Configure and optimize AI capabilities such as anomaly detection, automated recovery workflows, and code analysis tools.

Skills

AI/ML

DevOps

Cloud platforms

Databases

Messaging systems

Analytics

Communication

Agile/Scrum

Education

Bachelor's degree in Computer Science or related field

Tools

Grafana

Prometheus

Splunk

ELK

LaunchDarkly

Split.io

Job description

RiDiK (a Subsidiary of CLPS) is seeking a seasoned software professional to drive design, implementation, and testing across multi-stream solutions for banking integrations. You will translate requirements into working code, configurations, and end-to-end solutions with a focus on quality and performance.

The role requires hands-on experience in AI/ML, DevOps, and cloud platforms, plus strong analytical and communication skills to collaborate with cross-functional teams and banks.