Technical Lead for AI and Security Solutions
1 month ago
About Seventh Sense Artificial Intelligence Private Limited
At Seventh Sense, we're a deep-tech company that's changing the face of cybersecurity and digital identity. Our mission is to make self-sovereign identity available to everyone.
We're backed by well-known international investors and recognized local investors, such as CapVista, which is the strategic investment arm of Singapore's Defense, Science and Technology Agency within the Ministry of Defense.
Job Title: Technical Lead for AI and Security Solutions
Estimated Salary: SGD 180,000 - SGD 200,000 per annum
Role Overview:
This role combines technical leadership with strategic oversight, requiring mentorship, coding, and code reviews. As the Technical Lead for AI and Security Solutions, you'll guide a talented team of engineers and researchers in the development and deployment of our innovative security and face recognition solutions.
You'll work closely with cross-functional teams to ensure our privacy-preserving eID and face PKI solutions are robust, scalable, and secure.
Key Responsibilities:
- Lead the technical development of Seventh Sense's products, ensuring adherence to project timelines and high-quality standards.
- Provide mentorship and guidance to a team of engineers, fostering a culture of collaboration, innovation, and excellence.
- Ensure the implementation of clean, secure, and efficient code, aligning with industry best practices.
- Oversee software project management, including planning, execution, and delivery, while maintaining strong communication with stakeholders.
- Collaborate with cross-functional teams including data science, AI research, and security experts to integrate machine learning models and computer vision into production.
- Manage and optimize the development pipeline, including Git workflows, continuous integration (CI), and DevOps.
Requirements:
- 5+ years of software engineering experience, with a proven track record in leading and managing teams.
- Broad technical knowledge in software engineering, with a solid understanding of machine learning and data science fundamentals.
- Strong project management skills, with experience delivering complex software projects.
- Experience in DevOps, including Git, CI/CD pipelines, and best practices in deployment and automation.
- Hands-on experience in full-stack development, with proficiency in at least one modern frontend framework (e.g., React, Angular, Vue.js) and experience with mobile development.
- Strong understanding of software security principles and experience building secure applications.
- Experience in computer vision, preferably with exposure to face recognition technologies.
Nice to Have:
- Familiarity with deep learning frameworks like PyTorch, particularly for model training and optimization.
- Experience working with AWS cloud services for scalable AI and machine learning deployments.
- Knowledge of Rust programming language.
- Understanding of cryptographic protocols and systems.
- Previous experience in face recognition or biometric security solutions.
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