about the company.
our client is a global tech company that pioneers "Security+" services by seamlessly fusing multi-disciplinary operations with cutting-edge AI, robotics, and smart tech to protect and optimize critical global infrastructure.
about the team.
our team members are professional and international, we believe that work efficiency is more important than long working hours.
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about the job.
Lead Rapid Prototyping: Spearhead the rapid prototyping of AI solutions to enhance product offerings and operational capabilities.
Drive Technology Integration: Promote the integration of AI technologies into existing and future technology platforms, ensuring AI elevates the efficiency, security, and scalability of organizational solutions.
Cross-Functional Collaboration: Partner with software development teams and business users to explore and productize AI capabilities, ensuring seamless integration into enterprise applications.
Technical Leadership: Provide end-to-end technical leadership for AI projects, from ideation to productization, deployment, and maintenance.
Build Scalable Modules: Oversee the development of reusable and scalable AI modules/services to boost organizational agility and shorten development timelines for future projects.
Stakeholder Engagement: Collaborate with stakeholders across various departments to identify areas where AI can create value and solve business challenges.
Compliance & Governance: Ensure all AI solutions comply with industry standards, regulatory frameworks, and data privacy policies.
Advocate AI Culture: Champion AI best practices across the organization, promote AI literacy, and foster a culture driven by AI innovation.
skills and experience required.
Experience: 5+ years of software development experience, with at least 3 years dedicated to AI, machine learning, or deep learning technologies.
Domain Expertise: Solid knowledge and hands-on development experience in computer vision algorithms or AI Agents.
Proven Track Record: Successful experience leading enterprise software projects from concept to deployment, particularly within enterprise environments.
MLOps Mastery: Deep understanding of data engineering, data science, and the machine learning model lifecycle management.
Passion for AI: Highly passionate about AI, especially in building practical AI products that solve real-world challenges.
Enterprise Workflows: Strong grasp of enterprise software development processes, including Agile methodologies, DevOps practices, and CI/CD pipelines.
Platform Integration: Experienced in collaborating with cross-functional teams to integrate AI solutions into large-scale software platforms.
Technical Stack: Deep understanding of AI/ML frameworks and tools (e.g., LangGraph, PyTorch, OpenAI Agents SDK, etc.) and proficiency in programming languages like Python, Java, or C++.
Cloud Platforms: Experience with cloud-based AI/ML platforms, with AWS being highly preferred.
Soft Skills: Exceptional leadership and communication skills with the ability to motivate and lead a team of AI engineers and developers; strong problem-solving skills in a fast-paced, dynamic environment.
Collaborative Mindset: Ability to work cohesively across different departments to foster synergy and shared learning.
Bonus Points: Prior experience in SaaS project development and delivery is a major plus.
