AI Developer

Marina Bay Sands; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A premier entertainment destination in Singapore is seeking an experienced AI Developer to drive development activities for IT projects. The role involves designing and deploying cutting-edge AI/ML models and collaborating with cross-functional teams. Candidates should have at least 5 years of experience in AI/ML development, proficient in Python and Azure AI services, and be committed to adhering to the organization's guidelines and policies.

Qualifications

• Minimum 5 years of hands-on experience in AI/ML/DL development.
• Strong focus on Deep Learning and Generative AI.
• Exposure to data engineering tools and concepts like Azure Data Factory.

Responsibilities

• Execute application development deliverables and activities.
• Design, develop, and deploy scalable AI/ML/DL models.
• Collaborate with data engineers for model deployment.
• Implement MLOps/DevOps practices for continuous integration and delivery.

Skills

Python

PyTorch/TensorFlow

Apache Spark

SQL

MLOps

DevOps

Azure AI services

SQL

DevOps

MLOps

Education

Bachelor’s / Master’s degree in Computer Science, Information Technology, or related field

Tools

Kubeflow

MLFlow

Azure DevOps

GitHub Actions

MLflow

Job description

Job Summary

At Marina Bay Sands, the primary responsibility of the AI Developer will be to execute all Development related activities for local MBS IT Projects whilst aligning to standards & best practices followed within the organization.

Job Responsibilities

• Execute application development deliverables and activities
• Design, develop, and deploy scalable AI/ML/DL models using state-of-the-art techniques.
• Build, fine-tune, and operationalize LLMs and Agentic AI systems for enterprise-grade applications.
• Leverage Azure OpenAI and other cloud-native services to implement advanced AI capabilities.
• Collaborate with data engineers to ensure seamless data pipeline integration and model deployment.
• Implement robust MLOps/DevOps practices for continuous integration, delivery, and monitoring of AI models.
• Translate complex business requirements into technical solutions in collaboration with cross-functional teams.
• Optimize model performance for scalability, reliability, and production-readiness.
• Stay abreast of the latest advancements in AI, ML, and cloud technologies, and apply them to real-world problems.
• Participate in various phases of the Software Development Life Cycle (SDLC) for IT Projects and to interface with various IT stakeholders such as 3rd party vendor suppliers, business analysts and project managers to perform development activities
• Documenting the application and database design
• Conducting Peer code reviews and Unit Testing
• Work closely with the Application Development team and QA teams to ensure any defects highlighted in QA or UAT phases are remediated.
• Adhere to SDLC, and Project Governance internal and regulatory (Sarbanes Oxley & Gaming Regulatory Authority) guidelines, policies, and procedures.

Job Requirements

Education & Certification

• Bachelor’s / Master’s degree in Computer Science, Information Technology, or related field.

Experience

• Minimum 5 years of hands‑on experience in AI/ML/DL development, with a strong focus on Deep Learning and Generative AI.
• Proficient in Python, PyTorch/TensorFlow, Apache Spark, and SQL.
• Experience in one or more OSS frameworks for ML ops like Kubeflow / MLFlow
• Demonstrated experience with Azure AI services, particularly Azure OpenAI and Azure Machine Learning.
• Exposure to data engineering tools and concepts (e.g., Azure Data Factory, Delta Lake).
• Hands‑on experience with modern Generative AI architectures, including Agentic AI frameworks (e.g., LangChain, LangGraph, MCP, Semantic Kernel), and Retrieval‑Augmented Generation (RAG) pipelines leveraging vector databases and advanced prompt engineering techniques.
• Experience delivering solutions using both agile and waterfall methodologies in fast‑paced environments.
• Solid understanding of DevOps and MLOps practices, including tools such as GitHub Actions, Azure DevOps, MLflow, and version control systems, with additional familiarity in DevSecOps approaches for embedding security into the development and deployment lifecycle.

Other Prerequisites

• Strong communication skills with the ability to engage diverse stakeholders and demonstrate proactiveness.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore. Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.