Senior ML Engineer — MLOps & GenAI in Production

GECO Asia Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

GECO Asia Pte Ltd in Singapore seeks a Senior AI/ML Engineer (MLOps) to design, deploy, monitor, and improve large-scale AI solutions in production, focusing on reliability, governance, and operational excellence of Generative AI and traditional ML systems.

You will collaborate with data scientists, platform teams, and business stakeholders to optimize deployments, monitor model performance, data quality, and latency, and implement observability and CI/CD pipelines using Kubernetes, Docker, and

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or related field.
• 5+ years of experience in Machine Learning, AI Engineering, MLOps, or related software engineering roles.
• Experience supporting production AI/ML systems in cloud environments and agile delivery teams.

Responsibilities

• Design and implement monitoring, alerting, and observability solutions for ML/AI systems, including model performance, data drift, latency, and operational health.
• Build and maintain automated evaluation, testing, and validation pipelines for ML models, GenAI workflows, prompts, and agentic systems.
• Investigate and resolve production issues related to model behavior, AI applications, data quality, integrations, and RAG/retrieval pipelines.
• Manage model, prompt, embedding, and vector index lifecycles, including versioning, rollout strategies, and evaluation gates.
• Collaborate with platform and infrastructure teams to optimize AI deployments for scalability, reliability, and cost efficiency.
• Establish feedback loops using user interactions, business metrics, UAT findings, and expert reviews to drive continuous improvement.

Skills

Strong Python expertise

Generative AI solutions

Machine Learning fundamentals

MLOps, orchestration, and model监监?

Kubernetes

Docker

Prometheus

Grafana

Cloud provider experience

Agile environments

RAG, AI agents

Education

Bachelor's degree in Computer Science / Data Science / Engineering / IT

Tools

Kubernetes

Docker

Prometheus

Grafana

Airflow

Kubeflow

MLflow

Job description

GECO Asia Pte Ltd in Singapore seeks a Senior AI/ML Engineer (MLOps) to design, deploy, monitor, and improve large-scale AI solutions in production, focusing on reliability, governance, and operational excellence of Generative AI and traditional ML systems.

You will collaborate with data scientists, platform teams, and business stakeholders to optimize deployments, monitor model performance, data quality, and latency, and implement observability and CI/CD pipelines using Kubernetes, Docker, and