Senior AI/ML Engineer - MLOps & Production AI Architect

Tap Growth ai; Singapore; On-site; SGD 140,000 - 200,000; Full time

Job summary

Tap Growth ai is hiring a Senior AI/ML Engineer (MLOps) to design, deploy, monitor, and improve large-scale AI/ML solutions in production. You will focus on reliability, governance, and operability for Generative AI and traditional ML systems while collaborating with data scientists, platform teams, and business stakeholders.

The role requires 6+ years in ML/AI, cloud production support, and strong mentoring capabilities, with duties spanning monitoring, pipelines, lifecycle management, and

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
• 6+ 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.
• Strong problem-solving, communication, stakeholder management, and mentoring capabilities; willingness to participate in on-call support when required.

Responsibilities

• Design and implement monitoring, alerting, and observability solutions for ML and AI systems, including model performance, data drift, latency, and AI 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.
• Ensure compliance with governance, security, privacy, and operational best practices.
• Create operational documentation, incident reports, and performance benchmarks.
• Communicate technical insights, risks, and system health to both technical and non-technical stakeholders.
• Mentor junior team members through coaching, knowledge sharing, and code reviews.

Skills

Python

Pandas

NumPy

Scikit-learn

SQL

MLOps

Prometheus

Grafana

Azure ML

Databricks

Kubernetes

Docker

Airflow

Kubeflow

MLflow

RAG

AI agents

LlamaIndex

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or related field

Tools

Azure ML

Databricks

Prometheus

Grafana

Kubernetes

Docker

Airflow

Kubeflow

MLflow

Job description

Tap Growth ai is hiring a Senior AI/ML Engineer (MLOps) to design, deploy, monitor, and improve large-scale AI/ML solutions in production. You will focus on reliability, governance, and operability for Generative AI and traditional ML systems while collaborating with data scientists, platform teams, and business stakeholders.

The role requires 6+ years in ML/AI, cloud production support, and strong mentoring capabilities, with duties spanning monitoring, pipelines, lifecycle management, and