Senior AI Engineer – 12 months contract

PERSOL TECH SERVICES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PERSOL TECH SERVICES PTE. LTD. in Singapore seeks an experienced AI Architecture & Cloud Platform Engineer to lead end-to-end AI solution delivery across projects.

You will design AI architectures, develop Python-based models, deploy on Azure and other clouds, and integrate video analytics into solutions.

The role requires leadership, strong communication, and hands-on experience in agile environments to drive scalable, secure, and reliable AI systems.

Qualifications

• More than 4 years of hands-on AI development and implementation.
• Proficient in Python programming.
• Hands-on experience with Azure AI and cloud services.
• Experience with TensorFlow or PyTorch.
• Familiarity with video analytics and AI-based video processing.
• Knowledge of DevOps practices within AI or data projects.
• Experience working in agile delivery environments.
• Strong leadership, project management, problem-solving, and communication skills.
• Excellent analytical, strategic, and solution-oriented thinking.

Responsibilities

• Lead AI solution architecture, design, and end-to-end implementation across projects
• Develop, optimize, and deploy AI models using Python and cloud-based AI services
• Integrate video analytics and processing capabilities into AI solutions
• Ensure AI systems meet scalability, performance, reliability, and security standards
• Collaborate with cross-functional teams to identify and evaluate AI opportunities
• Mentor and guide junior engineers and data scientists
• Stay current with emerging AI technologies, tools, and industry trends

Skills

AI development

Python

Azure AI

Cloud platforms

TensorFlow

PyTorch

Video analytics

DevOps for AI

Agile

Leadership

Analytical thinking

Education

Bachelor's degree in CS/IT or related field

Job description

AI Architecture & Solution Delivery

• - Lead AI solution architecture, design, and end-to-end implementation across projects
• - Develop, optimize, and deploy AI models using Python and cloud-based AI services
• - Integrate video analytics and video processing capabilities into AI solutions
• - Ensure AI systems meet scalability, performance, reliability, and security standards

Cloud & Platform Engineering

• - Design and implement AI solutions on Azure and other cloud platforms as required
• - Support edge AI deployment strategies where applicable
• - Apply DevOps practices to streamline AI development, deployment, and monitoring

Stakeholder & Delivery Collaboration

• - Collaborate with cross-functional teams to identify and evaluate AI opportunities
• - Participate in requirements gathering and review functional specifications with Business Analysts
• - Work with the team lead to ensure designs and code align with architecture principles and standards

Quality & Governance

• - Participate in peer reviews to improve solution quality and maintain best practices
• - Ensure compliance with technical standards, security policies, and project guidelines

Leadership & Continuous Improvement

• - Mentor and guide junior engineers and data scientists
• - Stay current with emerging AI technologies, tools, and industry trends
• - Contribute to strategic thinking and continuous improvement initiatives

Qualifications

Experience & Skills

• - More than 4 years of hands‑on experience in AI development and implementation
• - Strong proficiency in Python programming
• - Hands‑on experience with Azure AI and cloud services
• - Experience with machine learning frameworks such as TensorFlow or PyTorch
• - Familiarity with video analytics and AI-based video processing
• - Knowledge of DevOps practices within AI or data projects
• - Experience working in agile delivery environments
• - Strong leadership, project management, problem-solving, and communication skills
• - Excellent analytical, strategic, and solution‑oriented thinking

Certifications (Preferred)

• - Microsoft Certified: Azure AI Engineer Associate
• - Certified Artificial Intelligence Professional (CAIP)

Education

• - Bachelor’s degree in Computer Science, Information Technology, or a related field