Senior AI Engineer (AI Systems)

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. is seeking a Senior AI Engineer to design and deliver production-grade AI systems. The role involves building modular AI platforms that can run in cloud environments (AWS/GCP/Azure) or on-premise, and translating business needs into scalable components.

You will deploy AI/ML models, design microservices and APIs, and improve DevOps/MLOps practices. Strong Python skills, cloud experience, and knowledge of data visualization tools are essential.

Qualifications

• Bachelor’s or Master’s in Computer Science / AI / Operations Research or related fields.
• 3+ years of experience in AI/ML engineering or backend/software engineering.
• Proficient in Python and production-grade system deployment.
• Strong experience in system design, microservices, and API architecture.
• Hands-on experience with Cloud platforms (AWS / GCP / Azure), Docker, Kubernetes, and CI/CD pipelines.
• Solid database experience (SQL and NoSQL) and familiarity with testing frameworks (PyTest).
• Experience with AI model deployment / MLOps / orchestration tools (Airflow / Prefect / Ray).
• Exposure to data visualization tools (Tableau / Holistics).

Responsibilities

• Design and build production-ready, modular AI systems deployable across cloud or on-prem environments.
• Translate complex business requirements into scalable, reusable system components.
• Integrate AI/ML models into robust, real-world production systems.
• Drive system architecture design including microservices, APIs, and distributed systems.
• Improve engineering practices across DevOps / MLOps / testing standards.
• Conduct code reviews and mentor team members for engineering excellence and scalability.
• Collaborate with cross-functional teams to deliver high-impact AI-driven solutions.

Skills

AI/ML engineering

System design

Microservices

API architecture

Python

CI/CD

MLOps

Data visualization

Education

Bachelor’s or Master’s in Computer Science / AI / Operations Research or related fields

Tools

Docker

Kubernetes

Airflow

Prefect

Ray

Tableau

Holistics

MySQL

PostgreSQL

MongoDB

Job description

About the Company

Our client is a high-growth AI company AI solutions helping enterprises improve efficiency, they are looking for a Senior AI Engineer to drive the design and delivery of production-grade AI systems.

Job Responsibilities

• Design and build production-ready, modular AI systems deployable across cloud (AWS / GCP / Azure) or on-prem environments
• Translate complex business / retail requirements into scalable and reusable system components
• Integrate AI / ML models into robust, real-world production systems
• Drive system architecture design including microservices, APIs, and distributed systems
• Improve engineering practices across DevOps / MLOps / code quality / testing standards
• Conduct code reviews and support team members to ensure engineering excellence and scalability
• Work closely with cross-functional teams to deliver high-impact AI-driven solutions

Job Requirements

• Bachelor’s or Master’s in Computer Science / AI / Operations Research or related fields
• More than 3+ years of experience in AI / ML engineering or backend/software engineering
• Strong experience in building and deploying production-grade systems
• Proficient in Python
• Strong experience in system design, microservices, and API architecture
• Hands-on experience with Cloud platforms (AWS / GCP / Azure), Containerization (Docker, Kubernetes), CI/CD pipelines
• Solid database experience in SQL (MySQL / PostgreSQL) & NoSQL (MongoDB etc.)
• Experience with testing frameworks (e.g. PyTest)
• Experience in AI model deployment / MLOps / orchestration tools (Airflow / Prefect / Ray etc.)
• Exposure to data visualization / reporting tools (Tableau, Holistics etc.)