AI Production Engineer: Build Scalable ML Pipelines
Calibrax
Kuala Lumpur
On-site
MYR 60,000 - 80,000
Full time
14 days+
Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Get past ATS filters
Job summary
A leading AI solutions provider in Kuala Lumpur is seeking a skilled AI Engineer. The ideal candidate will bridge software engineering and machine learning, ensuring models are production-ready and impactful. Required skills include proficiency in Python, experience in API development, building data pipelines, and familiarity with cloud platforms. This role emphasizes building reusable infrastructure and proactive problem-solving. Join us to work on innovative AI solutions for our diverse clients and contribute to impactful projects.
Qualifications
3+ years of software engineering experience, with at least 1 year working on ML or AI systems.
Strong proficiency in Python; experience with FastAPI, Flask, or similar for API development.
Experience building and maintaining data pipelines and ETL workflows.
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
Familiarity with MLOps practices: experiment tracking, model versioning, CI/CD for ML.
Experience working with LLMs, API integration, prompt management, RAG pipelines, or fine-tuning.
Strong understanding of software engineering fundamentals: testing, version control, code review.
Responsibilities
Your code is reliable in production, well-tested, monitored, and easy for teammates to extend.
You reduce time-to-deployment by building clean, reusable infrastructure that data scientists can actually use.
You proactively spot production issues before clients do, setting up the right alerts, logs, and dashboards.
You work fluidly with data scientists, translating model requirements into solid engineering with minimal friction.
You contribute to internal tooling and frameworks that make future engagements faster and higher quality.
You are a self-starter who picks up new tools and frameworks quickly and brings them into the team's workflow when they add value.
Skills
Software engineering experience
Proficiency in Python
API development experience
Data pipeline and ETL workflow management
Cloud platform experience (AWS, GCP, Azure)
MLOps practices
LLM and API integration experience
Software engineering fundamentals
Tools
FastAPI
Flask
Docker
Kubernetes
Job description
A leading AI solutions provider in Kuala Lumpur is seeking a skilled AI Engineer. The ideal candidate will bridge software engineering and machine learning, ensuring models are production-ready and impactful. Required skills include proficiency in Python, experience in API development, building data pipelines, and familiarity with cloud platforms. This role emphasizes building reusable infrastructure and proactive problem-solving. Join us to work on innovative AI solutions for our diverse clients and contribute to impactful projects.