Associate Cloud Engineer

ADVANCED E-SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading cloud technology firm in Singapore is seeking an Associate Cloud Engineer to develop and manage end-to-end AI/ML workflows. The ideal candidate has a Bachelor's or Master's degree in a relevant field and at least 2 years of experience with DataRobot. Strong skills in Python, SQL, and working with APIs are crucial for success in this role. Candidates will collaborate with data teams to translate business needs into predictive models, all within a dynamic environment focused on innovation.

Qualifications

• 2+ years of hands-on experience using DataRobot in production environments.
• Strong foundation in machine learning, data analysis, and statistical modeling.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions.

Responsibilities

• Develop and manage end-to-end AI/ML workflows using DataRobot capabilities.
• Monitor deployed models for drift, performance, and impact.
• Collaborate with data engineers to translate business problems into predictive solutions.

Skills

Cloud Engineer with ML Ops

Python

SQL

R

AWS

Azure

GCP

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field

Tools

DataRobot

API integration

Job description

POSITION OVERVIEW

Associate Cloud Engineer

POSITION GENERAL DUTIES AND TASKS

Position Name

Associate Cloud Engineer

Minimum Relevant Experience

3 Years

Key Skills

Cloud Engineer with ML Ops/Data Robot Technical skills, Python, SQL, or R, AWS, Azure, GCP.

Roles and Responsibilities

• Develop and manage end-to-end AI/ML workflows using Data Robot platform capabilities.
• Upload, prepare, and analyze large datasets for model training and evaluation.
• Interpret and validate model outputs, insights, and performance metrics.
• Integrate DataRobot models and predictions with business applications via APIs.
• Collaborate with data engineers, analysts, and business stakeholders to translate business problems into predictive modelling solutions.
• Monitor deployed models for drift, performance, and impact, and retrain as needed.
• Leverage DataRobot’s automation capabilities to streamline and scale modeling efforts.
• Contribute to model governance, explainability, and documentation practices.

Required Qualifications / Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 2+ years of hands‑on experience using DataRobot in production environments.
• Strong foundation in machine learning, data analysis, and statistical modeling.
• Proficiency with data handling tools like Python, SQL, or R.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions.
• Experience working with APIs and integrating ML outputs into production systems.
• Solid understanding of MLOps practices and model lifecycle management.
• Data Robot certification(s) or completion of official training programs.
• Familiarity with automated feature engineering and explainable AI (XAI).