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Engineering Team Leader - AI Security

As a Team Leader at DeepKeep, you will play a pivotal role in leading a highly skilled team of backend and frontend developers responsible for building customer-facing, end-to-end features. You will act as both a technical lead and manager, driving the transformation of complex research ideas into scalable, robust machine learning applications deployed in production environments. With a hands-on approach, you will contribute directly to development while ensuring the team’s focus on usability, quality, and timely deliveries. This position requires strong leadership and technical expertise, especially in distributed systems, front-end frameworks, and cloud-based architectures.

Key Responsibilities

  • Lead, grow, mentor, and manage a team of talented software engineers, ensuring the delivery of high-quality features and products.
  • Develop and maintain both the back-end and front-end of DeepKeep’s core applications, contributing as a hands-on developer for 50%-70% of your time.
  • Translate advanced research prototypes into scalable, production-grade software, optimizing machine learning models for performance and security (e.g., early stopping, adversarial attack defenses).
  • Work closely with cross-functional teams including data scientists, product managers, and machine learning engineers to ensure smooth integration of ML technologies.
  • Drive technical excellence and innovation, optimizing distributed AWS systems, serverless architectures, and upholding best practices in code quality.
  • Participate in product design and decision-making processes, focusing on continuous improvement, scalability, and user-centric designs.

Who We're Looking For

  • A visionary leader with a passion for AI and machine learning technologies, capable of bridging the gap between research and real-world applications.
  • Strong leadership with 2+ years as a team leader managing 5+ engineers, driving both technical and personal growth within the team.
  • Substantial experience (6+ years) in software development, including python ML technologies and backend technologies.
  • Proven ability to transform complex research and algorithms into scalable, market-ready solutions.

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