AI Software Engineer

ITCAN Pte Limited; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

A technology company in Singapore is seeking skilled professionals in AI and data science. Candidates should have strong expertise in data pipeline development and familiarity with multiple cloud platforms including Azure and AWS. Knowledge of AI/ML algorithms and modern deployment techniques is essential. This role offers an opportunity to engage with cutting-edge tools and technologies in an innovative environment.

Qualifications

• Experience in data pipeline development and monitoring.
• Understanding of data preprocessing and feature engineering.
• Familiarity with CI/CD processes and version control.

Skills

Fast API

Azure UI Search API

Azure Cloud Basics

Gitlab Pipeline

Ansible

Prompt Engineering

MLOps frameworks

AI/ML algorithms understanding

Data pipeline development

Azure Open AI

TensorFlow

PyTorch

Scikit-learn

Azure AI Search

Distributed computing knowledge

Big data tools familiarity

Job description

Proficient

• Languages/Framework: Fast API, Azure UI Search API (React)
• Cloud: Azure Cloud Basics (Azure DevOps)
• Gitlab: Gitlab Pipeline
• Ansible and REX: Rex Deployment
• Data Science: Prompt Engineering + Modern Testing
• Data pipeline development
• Understanding of AI/ML algorithms and their applications
• MLOps frameworks
• Knowledge of cloud platforms (Azure ML especially)
• Model deployment process
• Data pipeline monitoring

Expert: (in addition to proficient skills)

• Languages/Framework: Azure Open AI
• Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search
• Databases and ETL: Azure Storage Account, Postgresql, Cosmos
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)
• Expertise in data preprocessing, feature engineering, and model evaluation
• Understanding of software engineering principles (version control, CI/CD, containerization)
• Familiarity with distributed computing and big data tools (Spark, Hadoop)
• Ability to optimize models for performance and scalability
• Experience with Azure AI Search