Senior Software Engineer (Full Stack, React & Python) (Tech Lead)

Work Location: Client Site – Paya Lebar 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 stake holders to deliver scalable, secure, and high-impact AI systems. Qualifications 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-orientedthinking 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