Lead Machine Learning Integration Engineer

Bounteousxaccolite Singapore Pte. Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Bounteous is seeking a Lead Machine Learning Integration Engineer in Singapore. This role involves designing and integrating Generative and Agentic AI solutions into enterprise environments. The ideal candidate will have a strong background in Machine Learning and AI system integration, with proven experience in deploying AI solutions in cloud environments. Join us to drive digital transformation for our key Financial Services clients and be part of a dynamic, inclusive team.

Qualifications

• 7+ years of experience in Machine Learning engineering or AI system integration.
• Proficiency in Python and Linux shell scripting.
• Knowledge of cloud platforms and AI security/compliance.

Responsibilities

• Design and implement scalable ML pipelines for Generative and Agentic AI applications.
• Integrate AI models into production environments using containerized platforms.
• Collaborate with cross-functional teams to understand AI workflows.

Skills

Machine Learning engineering

AI system integration

Generative AI

Agentic AI

Automation

Linux shell scripting

Python

OpenShift

Kubernetes

API integration

Education

Bachelor’s degree in Computer Science

Engineering degree

Tools

OpenShift

Docker

Kubernetes

AWS

GCP

Splunk

Grafana

Job description

About The Role

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

One of key Financial Services clients is looking for a Lead Machine Learning Integration Engineer for a position based in Singapore.

Job Description

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

This Lead ML / Integration Engineer role focuses on building and integratingGenerative AIandAgentic AIsolutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

Key Responsibilities:

• Design and implement scalable ML pipelines for Generative and Agentic AI applications.

• Integrate AI models into production environments using containerized platforms such asOpenShiftandKubernetes.

• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.

• Develop and maintain automation scripts usingLinux shell scripting,Python, or other relevant tools.

• Ensure seamless deployment and integration of AI services incloud environments(e.g., AWS, Azure, GCP).

• Implement and maintainnetwork security protocolsto safeguard AI systems and data pipelines.

• Monitor and optimize system performance, reliability, and scalability.

• Support CI/CD processes and infrastructure for AI model deployment and updates.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 7+ years of experience in Machine Learning engineering or AI system integration.

• Hands-on experience with OpenShift, Docker, Kubernetes.

• Knowledge of cloud platforms (e.g. AWS, GCP) is a must-have.

• Exposure to data and network security and compliance in AI systems.

• Understanding ofGenerative AI andAgentic AI concepts.

• Experience with LLM prompt engineering, or RAG pipelines.

• Knowledge of API integration and microservices architecture.

• Proficiency in Python used both for ML and automation tasks

• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.

• Knowledge of Workflow Orchestrator, such as Ctrl-M

• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.

• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.

What's on Offer

Bounteous brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.

Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, colour, gender identity, sexual orientation, age, physical or mental disability, national origin, or any other status protected under state, or local law.