Machine Learning Engineer - Search (NLP) - Singapore

Aitopics; Singapore; Hybrid; SGD 70,000 - 108,000; Full time

Benefits offered by this job

Mentorship and career growth

Work from home flexibility

Flexible work schedule

Learning opportunities

Self development time 40 hours per yr

In person collaboration days per week

Job summary

Aitopics is hiring a Machine Learning Engineer to advance search and NLP capabilities in Singapore. You will build cross-modal retrieval systems, develop large-model search technologies, and design scalable online services with low latency.

The role emphasizes NLP features, segmentation, NER, and improving ranking and comprehension of queries. You will work with modern ML stacks including PyTorch, Python, and distributed training pipelines, while leveraging AWS and cloud-native tools.

Responsibilities

• Build cross modal matching for retrieval
• Build large model based search technology
• Design high availability low latency online services
• Develop personalized search and recommendation models
• Develop video search and visual search algorithms
• Implement NLP features including segmentation and NER
• Improve search ranking and query understanding
• Optimize distributed offline training pipelines

Skills

Machine Learning

NLP

Deep Learning

PyTorch

Python

C++

Java

Distributed systems

AWS

AWS Lambda

Amazon Bedrock

Amazon DynamoDB

ClickHouse

Elasticsearch

Flink

CUDA

CUDNN

Go

Spark

CI/CD

Canary Deployment

Knowledge graphs

LLM

Data Visualization

Tools

AWS

AWS Lambda

Agents SDK

Amazon Bedrock

Amazon DynamoDB

ClickHouse

Elasticsearch

Flink

CUDA

CUDNN

Go

Spark

CI/CD

Job description

Machine Learning Engineer - Search (NLP) - Singapore

SGD 70K-108K (estimate) Mid-level Full Time

• Build cross modal matching for retrieval
• Build large model based search technology
• Design high availability low latency online services
• Develop personalized search and recommendation models
• Develop video search and visual search algorithms
• Implement NLP features including segmentation and NER
• Improve search ranking and query understanding
• Optimize distributed offline training pipelines

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

Mentorship opportunity | Professional development

Alerting | Automated rollback | C++ | CI/CD | Canary Deployment

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

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

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

Algorithms | C++ | Data Structures | Information Retrieval | Java

Conference recognition | Publication record recognition | Team management opportunities

C++ | CUDA | CUDNN | Data Processing | Debugging

C++ | CUDA | CUDNN | Computer Architecture | Data Processing

Apache Spark | C++ | Data Mining | Data Modeling | Data Visualization

C++ | Data Mining | Data Modeling | Data Warehousing | Distributed Systems

C++ | Data Mining | Data Modeling | Elasticsearch | Flink

C++ | CUDA | Concurrency systems | Go | High Performance