Production Engineer - Applied Machine Learning Engine (Singapore)

Aitopics; Singapore; Hybrid; SGD 160,000 - 225,000; Full time

Benefits offered by this job

Hybrid work

Mentorship

Health insurance

Dental coverage

Health screening

Employee assistance program

Childcare Creche Services

Job summary

Aitopics is seeking a Production Engineer for an Applied Machine Learning Engine in Singapore. This senior full-time role focuses on building and maintaining robust ML production systems, with emphasis on deployment, monitoring, and scalable infrastructure.

You will collaborate with researchers, participate in mentoring, and contribute to flexible/hybrid work arrangements while advancing ML capabilities across applications.

Qualifications

• Experience building and maintaining production ML systems.
• Strong knowledge of ML pipelines, deployment strategies, and monitoring.
• Familiarity with cloud services and data governance.

Responsibilities

• Conduct system health inspections and capacity forecasting
• Develop CI/CD pipelines and deployment strategies
• Ensure availability for training inference and storage systems
• Implement observability alerting and on call processes
• Manage production operations and stability
• Optimize resource governance and performance tuning
• Perform incident diagnosis and self healing
• Run disaster recovery and postmortem reviews

Skills

Python

C++

C#

Java

Deep learning

Machine learning

PyTorch

Tools

Docker

ClickHouse

DeltaLake

Kubernetes

AWS

Amazon Bedrock

Job description

Production Engineer - Applied Machine Learning Engine (Singapore)

SGD 160K-225K (estimate) Senior-level Full Time

• Conduct system health inspections and capacity forecasting
• Develop CI/CD pipelines and deployment strategies
• Ensure availability for training inference and storage systems
• Implement observability alerting and on call processes
• Manage production operations and stability
• Optimize resource governance and performance tuning
• Perform incident diagnosis and self healing
• Run disaster recovery and postmortem reviews

APIs | AWS | Agent systems | Agentic AI | Autogen

Collaboration with research institutes | Hybrid work | Knowledge sharing sessions | Mentorship

Childcare Creche Services | Dental coverage | Employee assistance program | Health insurance | Health screening

AWS | AWS Lambda | Agents SDK | Amazon Bedrock | Amazon DynamoDB

Flexible work schedule | In person collaboration days per week | Mentorship and career growth | Work from home flexibility

API Design | Artificial Intelligence | Batch Processing | Cloud Computing | Data Governance

Flexible work practices | Learning opportunities | Self development time 40 hours per year

Accelerometer | C# | C++ | Control Theory | Data Fusion

Mentorship opportunity | Professional development

Algorithms | C# | C++ | ClickHouse | Data Structures

Audit Logging | Backup | Clean Code | Disaster Recovery | Docker

A/B | A/B Testing | Autonomous Agents | B testing | Data Mining

Deep learning | Java | Knowledge graphs | LLM | Language Processing

Data pipeline | Fraud Detection | Machine Learning | PyTorch | Python

Click Through Rate | Click Through Rate Prediction | Conversion Rate | Conversion Rate Prediction | Deep learning

Algorithms | CTR Prediction | CVR Prediction | Data Structures | Deep learning

C++ | Fine Tuning | Graph Algorithms | Human Feedback | Inference Optimization

Batch Processing | C# | C++ | Data Architecture | Distributed Consensus

Batch Processing | C++ | Columnar Storage | Data Warehousing | DeltaLake

Algorithms | C++ | Computer Vision | Data Structures | Generative Models

Computer Vision | Data Structures | Data Structures and Algorithms | Deep learning | Distributed Systems