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MindGraph Linkedin · Posted yesterday

AI/ML Tech Lead – Agentic AI & Azure

Singapore

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AI/ML Tech Lead – Agentic AI & Azure


Job Description

As a Tech Lead, you will lead the design, development, and deployment of AI-driven solutions, supporting enterprise AI initiatives and transformations. You will combine strong hands-on technical expertise with leadership responsibilities, working closely with cross-functional stakeholders to deliver scalable, secure, and high-impact AI systems.

QualificationsWhat will you do?


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
QualificationsThe ideal candidate should possess:


Experience & Skills

  • More than 4 years of hands-on experience in AI development and implementation
  • Strong proficiency in Python programming
  • Strong experience in Agentic AI
  • 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


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