Machine Learning Integration Engineer

Borr Drilling; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading digital transformation consultancy seeks a Machine Learning Integration Engineer in Singapore. This role involves building and integrating Generative and Agentic AI solutions, focusing on developing scalable ML pipelines and optimizing AI infrastructure while collaborating with data scientists and DevOps teams.

Qualifications

• 4+ years of experience in Machine Learning engineering or AI system integration.
• Hands-on experience with OpenShift, Docker, Kubernetes.
• Proficiency in Python used for ML and automation tasks.

Responsibilities

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

Skills

Machine Learning engineering

AI system integration

Python

Linux shell scripting

OpenShift

Kubernetes

Cloud platforms knowledge

Data and network security

API integration

Microservices architecture

Observability frameworks

Education

Bachelor’s degree in Computer Science, Engineering

Tools

OpenShift

Docker

Kubernetes

Splunk

Geneos

Elastic Stack

Grafana

Langfuse

Ctrl-M

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 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 integrating Generative AI and Agentic AI solutions 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 as OpenShift and Kubernetes .
• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
• Develop and maintain automation scripts using Linux shell scripting , Python , or other relevant tools.
• Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP).
• Implement and maintain network security protocols to 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.
• 4+ 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 of Generative AI and Agentic 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.