AI Engineer

Seatrium (SG) Pte. Ltd.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Seatrium (SG) Pte. Ltd. in Singapore seeks an Architect to build and maintain end-to-end AI/ML pipelines, from data ingestion and preprocessing to training, deployment, and predictive analytics.

You will collaborate with data scientists, implement AI/MLOps practices, optimize for performance and latency, and integrate models into enterprise systems via APIs and cloud services. You will ensure governance and ethical AI compliance while supporting users and troubleshooting issues.

Qualifications

  • Bachelor's in Computer Science, AI, or a related quantitative field.
  • Experience in AI/ML model development, AI/MLOps, and cloud-based deployment.
  • Proven track record delivering AI/ML projects from concept to deployment and monitoring.
  • Interest working in regulated industries maritime in Singapore is advantageous.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills.
  • Ability to manage multiple projects and deliverables simultaneously.

Responsibilities

  • Architect, build, and maintain end-to-end AI/ML pipelines (data ingestion, preprocessing, training, deployment, predictive analytics / monitoring).
  • Collaborate with data scientists and domain experts to operationalize experimental models, optimizing for performance, scalability, and latency to ensure high-quality datasets.
  • Implement and advocate for AI/MLOps practices (CI/CD for ML, model versioning, feature stores) using modern tools.
  • Optimize model inference for production environments (e.g., using TensorRT, ONNX, pruning, quantization).
  • Write robust, testable, and maintainable code in a collaborative setting using GitHub.
  • Integrate AI models into enterprise systems using APIs and cloud-native services (AWS, Azure).
  • Ensure models meet business objectives while adhering to ethical AI and governance frameworks.
  • Provide technical support and training to users.
  • Troubleshoot and resolve system issues.
  • Participate in business analysis and technical design sessions.
  • Ensure compliance with industry regulations.
  • Document system processes and present progress reports.
  • Collaborate with team members and other departments to ensure smooth operation.

Skills

AI/ML model development
MLOps
Cloud deployment
Data engineering
Problem solving
Communication

Education

Bachelor’s in Computer Science or related field

Tools

TensorRT
ONNX
GitHub
AWS
Azure

Job description

JOB DESCRIPTION
  • Architect, build, and maintain end-to-end AI/ML pipelines (data ingestion, preprocessing, training, deployment, predictive analytics / monitoring).
  • Collaborate with data scientists and domain experts to operationalize experimental models, optimizing for performance, scalability, and latency to ensure high-quality datasets.
  • Implement and advocate for AI/MLOps practices (CI/CD for ML, model versioning, feature stores) using modern tools.
  • Optimize model inference for production environments (e.g., using TensorRT, ONNX, pruning, quantization).
  • Write robust, testable, and maintainable code in a collaborative setting using GitHub.
  • Integrate AI models into enterprise systems using APIs and cloud-native services (AWS, Azure).
  • Ensure models meet business objectives while adhering to ethical AI and governance frameworks.
  • Provide technical support and training to users.
  • Troubleshoot and resolve system issues.
  • Participate in business analysis and technical design sessions.
  • Ensure compliance with industry regulations.
  • Document system processes and present progress reports.
  • Collaborate with team members and other departments to ensure smooth operation.
JOB REQUIREMENTS
  • Bachelor’s in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience in AI/ML model development, AI/MLOps, and cloud-based deployment.
  • Proven track record of taking AI/ML projects from concept to deployment and monitoring.
  • Interest working in regulated industries maritime in Singapore is advantageous.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills.
  • Ability to manage multiple projects and deliverables simultaneously.
LOCATION(S)
  • Seatrium (SG) Pte. Ltd. Pioneer Yard 50 Gul Road, Singapore 629353 (Islandwide transport provided)
BUSINESS UNIT

Seatrium Limited provides innovative engineering solutions to the global offshore, marine and energy industries. Headquartered in Singapore, the Group has over 60 years of track record in the design and construction of rigs, floaters, offshore platforms and specialised vessels, as well as in the repair, upgrading and conversion of different ship types. The Group’s key business segments include Oil & Gas Newbuilds and Conversions, Offshore Renewables, Repairs & Upgrades, and New Energies, with a growing focus on sustainable solutions to advance the global energy transition and maritime decarbonisation. As a premier global player offering offshore renewables, new energies and cleaner offshore & marine solutions, Seatrium is committed to delivering high standards of safety, quality and performance to its customers which include major energy companies, vessel owners and operators, shipping companies, and cruise and ferry operators. Seatrium operates shipyards, engineering & technology centres and facilities in Singapore, Brazil, China, India, Indonesia, Japan, Malaysia, the Philippines, Norway, Saudi Arabia, the United Arab Emirates, the United Kingdom and the United States. Discover more at www.seatrium.com

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