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.

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.

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 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.

Soft Skills

Excellent communication skills Attention to detail Strong problem-solving mindset with a can-do attitude Strong Organizational skills Visual Thinking Empowering delegation Mentorship and coaching.

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.