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Senior MLOps Engineer

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Thoughtworks

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Location:
Singapore , Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As an MLOps Engineer in DAMO service line, you will be responsible for ensuring the reliability, safety, performance and continuous improvement of large-scale machine learning and AI systems in production, including both generative AI and traditional ML systems like computer vision and recommendation models. You will work across the full software delivery lifecycle, contributing to design, implementation, deployment and ongoing operational excellence.

Job Responsibility:

  • Design, implement and maintain monitoring and alerting for ML and AI operational signals
  • Build and operate robust evaluation and testing pipelines for all ML and AI systems
  • Investigate and resolve production issues related to model behaviour
  • Collaborate with infrastructure and platform teams to ensure stable, performant and cost-efficient AI inference
  • Manage the lifecycle of ML models, prompts, embeddings, vector indices and associated components
  • Design and operate effective feedback loops that incorporate real user interactions
  • Uphold governance, safety and compliance standards
  • Maintain clear, comprehensive documentation
  • Communicate system health, risks, upcoming changes and operational insights clearly
  • Support the growth and development of junior team members

Requirements:

  • High proficiency in Python (Pandas, NumPy, Scikit-learn) for scripting, analysis, and maintaining production models
  • Strong SQL skills for querying, data manipulation, and operational data checks
  • Experience building or maintaining GenAI / agentic solutions (e.g., RAG, LlamaIndex, CrewAI, or similar orchestration/RAG tooling)
  • Solid understanding of classical ML algorithms, model evaluation, and challenges like drift and bias
  • Hands-on experience with model monitoring (data quality, prediction quality, latency) using Prometheus, Grafana, or cloud-native tools
  • Experience with Azure (Databricks, Azure Machine Learning, etc.) for deployment and resource management
  • Familiarity with Agile methodologies (Scrum/Kanban)
  • Must be Singaporean citizens or already hold Singaporean Permanent Residency (PR) at the time of application
  • Willingness to be part of a 24x7 on-call rotation, as needed

Nice to have:

  • Experience with big data frameworks (Spark, Dask) for large-scale processing
  • Understanding of containerization/orchestration such as Docker and basic Kubernetes
  • Exposure to workflow/pipeline or IaC tooling (Airflow, Kubeflow, MLflow, Terraform)
  • Familiarity with GCP/AWS is a plus
What we offer:
  • Learning & Development
  • Interactive tools
  • Numerous development programs
  • Teammates who want to help you grow

Additional Information:

Job Posted:
January 12, 2026

Employment Type:
Fulltime
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