Associate Cloud Engineer (9-Month Contract)

RAPSYS TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology company in Singapore is looking for an AI/ML Developer responsible for managing end-to-end workflows using DataRobot. Ideal candidates will have a strong background in machine learning and data analysis, along with proficiency in tools like Python and SQL. The role includes collaboration with business stakeholders to solve problems through predictive modeling solutions. Competitive package and training opportunities available.

Qualifications

• 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 such as Python, SQL, or R.

Responsibilities

• Develop and manage end-to-end AI/ML workflows using DataRobot.
• Upload, prepare, and analyze large datasets for model training.
• Integrate DataRobot models with business applications via APIs.

Skills

DataRobot expertise

Machine learning

Data analysis

Statistical modeling

Python

SQL

R

MLOps

API integration

Education

Bachelor’s or Master’s degree in relevant field

Tools

DataRobot

AWS

Azure

GCP

Job description

Roles and Responsibilities

• Develop and manage end-to-end AI/ML workflows using DataRobot 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 modeling solutions.
• Monitor deployed models for drift, performance, and business impact, and retrain models 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 such as Python, SQL, or R.
• Familiarity with cloud platforms (AWS, Azure, or 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.
• DataRobot certification(s) or completion of official training programs.
• Familiarity with automated feature engineering and explainable AI (XAI).