Senior Machine Learning Operation

PageGroup Corporation Solutions (Malaysia) Sdn Bhd; Singapore; On-site; SGD 120,000 - 180,000; Part time

Job summary

De ion in Southeast Asia seeks a Senior Machine Learning Operations Engineer to deploy and manage ML models in production. The role focuses on building and maintaining ML ops pipelines, collaborating with data scientists, and optimizing models for cloud-scale performance.

The contract runs for 5 months, with a strong emphasis on CI/CD, monitoring, and governance using Prometheus, Grafana, and modern cloud tools. Candidates should have deep ML and MLOps experience.

Qualifications

• Bachelors or Masters in Computer Science, Data Science, or related field.
• 4-10 years in ML operations or related field.
• Proficient in SQL for data querying, manipulation, validation.
• Experience with GenAI, RAG and agentic AI frameworks.
• Strong ML, MLOps, and cloud deployment knowledge.
• Experience with CI/CD for ML workflows and monitoring.
• Familiarity with Prometheus and Grafana for monitoring.

Responsibilities

• Develop and maintain ML operations pipelines for model deployment and monitoring.
• Collaborate with data scientists to ensure smooth integration of ML models into production.
• Optimize machine learning models for performance and scalability in cloud environments.
• Implement best practices for version control, testing, and documentation of ML workflows.
• Monitor system performance, troubleshoot issues, and implement improvements.

Skills

SQL

GenAI

ML Algorithms

MLOps

Python

Java

R

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Cloud Platforms

CI/CD

Data Structures

Education

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

Tools

Prometheus

Grafana

LlamaIndex

CrewAI

Docker

Kubernetes

Job description

De ion

We are seeking a Senior Machine Learning Operations Engineer to join our team in Southeast Asia. The ideal candidate will have extensive experience in deploying and managing machine learning models in production environments, ensuring they operate efficiently and effectively.

CONTRACT: 5 MONTHS

Responsibilities

• Develop and maintain ML operations pipelines for model deployment and monitoring.
• Collaborate with data scientists to ensure smooth integration of ML models into production.
• Optimize machine learning models for performance and scalability in cloud environments.
• Implement best practices for version control, testing, and documentation of ML workflows.
• Monitor system performance, troubleshoot issues, and implement improvements.

Skills and Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 4-10 years of experience in machine learning operations or a related field.
• SQL: Data querying, manipulation, and validation.
• GenAI: Production-grade RAG and agentic AI using LlamaIndex, CrewAI, or similar frameworks.
• Machine Learning: ML algorithms, model evaluation, drift, and bias.
• MLOps: Model and data monitoring using Prometheus, Grafana, and cloud-native tools.
• Proficiency in programming languages such as Python, Java, or R.
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with CI/CD tools and practices for machine learning models.

Contact: Lily Tran (Lic No: R24123492/ EA no:18S9099)

Phone number: [phone]