Job Description

Analyst Programmer -

software development or data science

Key Responsibilities

Collaborate with

data scientists, engineers, and product teams

to design and build AI-driven applications that enhance operational performance. Develop and integrate

Generative AI capabilities

using

Large Language Models (LLMs)

and

prompt engineering

techniques. Design, develop, and maintain

full-stack applications or components

integrating AI/ML models, APIs, and data workflows. Embed

AI features

(e.g., chatbots, summarization, document analysis, or computer vision) into internal tools and enterprise systems. Build and manage

REST APIs

for secure and efficient integration with analytics services and AI backends. Deploy and monitor AI models using

DevOps/MLOps tools

such as

Docker, Kubernetes, MLflow

, and

AWS cloud environments

. Translate

business requirements

into clear technical specifications and robust software solutions. Stay ahead of industry trends by continuously exploring and implementing emerging

AI, ML, and cloud-native

technologies.

Requirements

Bachelor's or Master's degree

in Computer Science, Data Science, Engineering, Statistics, or a related discipline.

3-5+ years

of experience in software development or data science, with

2-3 years

in backend data workflows or data engineering. Strong programming skills in

Python (Pandas, NumPy, scikit-learn)

and

SQL

. Good understanding of

machine learning, deep learning, and statistical modeling

concepts. Experience with

cloud platforms

(AWS, GCP, or Azure), especially in data and AI services. Hands-on experience with

CI/CD pipelines

,

Docker

, and

Kubernetes

. Exposure to

modern data platforms

such as

Snowflake, Databricks, or BigQuery

. Familiarity with

data pipeline development

and data processing frameworks is an added advantage.
Job Type: Full-time

Pay: RM5,000.00 - RM6,000.00 per month

Experience:

Python (Pandas, NumPy, scikit-learn) and SQL.: 1 year (Required) machine learning, deep learning, and statistical modeling: 1 year (Preferred) cloud platforms (AWS, GCP, or Azure): 2 years (Preferred) CI/CD pipelines, Docker, and Kubernetes.: 2 years (Preferred) Snowflake, Databricks, or BigQuery.: 2 years (Preferred)
Language:

Mandarin (Preferred)
Work Location: In person