Senior Machine Learning Operation

Description

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.

If you are eager to contribute your IT skills to a respected company in the relevant sector, we encourage you to apply today!

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

Phone number: +65 64169807