AI Engineer at VISEO ASIA PTE LTD

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, Data Engineering, MLOps, Cloud Computing, Microsoft Azure, AWS, AI Governance, Model Lifecycle Management, Scalable Architecture, Compliance, Ethics, Continuous Improvement, Cross-Functional Collaboration, Technical Excellence, Mentoring

Industry

IT Services and IT Consulting

Description

A highly skilled AI Engineer who leads the design, development, and governance of enterprise- grade AI solutions across multi-cloud environments, including Microsoft Azure and AWS. This role demands deep expertise in Microsoft technologies, strong proficiency in AI/ML frameworks, and hands-on experience in data engineering, MLOps, and scalable architecture design. This role is ideal for someone who thrives at the intersection of AI innovation, cloud engineering, and enterprise strategy. Roles and Responsibilities Design and deliver enterprise-grade AI/ML solutions across multi-cloud environments (Azure, AWS), ensuring scalability, security, performance, and seamless integration with existing technology ecosystems. Define and enforce comprehensive AI governance frameworks addressing compliance (e.g., GDPR, EU AI Act), model risk, ethics, transparency, and explain ability. Serve as a trusted advisor to business and technology leaders on AI strategy, emerging trends, and the long-term impact of AI on enterprise processes, platforms, and decision- making. Lead end-to-end development and operationalization of AI solutions, including data exploration, model development, training, validation, deployment, and lifecycle management. Own and manage production operations of AI systems—covering monitoring, incident management, CI/CD pipelines, and release/change controls. Assess and evaluate change requests, effort, and impact across business functions, technology platforms, and governance controls to ensure strategic alignment and risk mitigation. Drive continuous improvement in model performance, system reliability, and AI delivery processes through rigorous testing, automation, and adherence to engineering best practices. Partner with cross-functional teams (data engineering, application development, infrastructure, business units) to translate complex business challenges into actionable AI-driven solutions. Champion a culture of technical excellence and knowledge sharingby mentoring peers, reviewing code and architecture, and contributing to internal AI communities of practice. Other duties as required. Profile Bachelor's or Master's degree in computer science, data science, information technology, or a related field, with 5+ years of experience in both AI/ML architecture and hands-on machine learning development. Strong foundation in machine learning and familiarity with deep learning techniques and frameworks. Demonstrated experience with MLOps and model lifecycle practices (training pipelines, monitoring, retraining, and CI/CD for ML). In-depth understanding of AI governance and responsible AI practices, including bias detection, model explain ability, and alignment with global regulatory standards. GDPR MESSAGE: Our privacy policy has been updated to comply with the new regulations. We invite you to consult it by clicking here: https://www.viseo.com/fr/politique-de-confidentialite. The VISEO Group uses the data collected as part of your application to assess your suitability for the job in question. We use the Jazz HR tool to help us in our recruitment process. This tool complies with current regulations on the protection of personal data. The tool is hosted in the United States and is PrivacyShield certified for HR data. In all cases, we may keep your file for 5 years so that we can contact you again if another position matches your profile. You may, of course, object to this. To find out more about how your data is used and how you can exercise your rights, please consult our privacy policy https://www.viseo.com/fr/politique-de-confidentialite.

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Responsibilities

The AI Engineer will design and deliver enterprise-grade AI/ML solutions across multi-cloud environments while ensuring scalability and security. They will also lead the operationalization of AI solutions and manage production operations.