Technical Lead - AI Solutions

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.

Responsibilities:

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

Requirements:

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

-       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)

Interested candidates may send their CV to MAC (Reg No. R1221300) [email protected] quoting the job title in the Subject line. We regretthat only shortlisted candidates will be notified.