Hiring for Cloud Data Engineer

Path Infotech; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A technology consulting firm based in Singapore is seeking an experienced professional to develop and manage end-to-end AI/ML workflows using DataRobot. The ideal candidate will have a strong foundation in machine learning and experience handling large datasets. Responsibilities include integrating models into business applications and ensuring model performance. Preferred qualifications include a degree in a relevant field and practical experience with MLOps and APIs.

Qualifications

• 2+ years of hands-on experience using DataRobot in production environments.
• Solid understanding of MLOps practices and model lifecycle management.
• DataRobot certification(s) or completion of official training programs.

Responsibilities

• Develop and manage end-to-end AI/ML workflows using DataRobot.
• Upload, prepare, and analyze large datasets for model training.
• Interpret and validate model outputs and performance metrics.
• Integrate DataRobot models with business applications via APIs.
• Monitor deployed models for drift and performance.

Skills

DataRobot expertise

Machine learning foundations

Data analysis skills

Proficiency in Python

Knowledge of SQL

Familiarity with R

MLOps practices

Experience with APIs

Understanding cloud platforms

Education

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

Job description

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 impact, and retrain as needed.

· Leverage DataRobot’s automation capabilities to streamline and scale modeling eAorts.

· 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.
• DataRobot certification(s) or completion of oAicial training programs.
• Familiarity with automated feature engineering and explainable AI (XAI).