Backend Team Lead- GenAI

We offer the industrys only platform that fuses customer identity and anti-fraud solutions customer identity management identity verification and fraud prevention.

We sell to industries with large consumer-facing businesses such as: banking financial services insurance fintech gaming ecommerce/retail telco / media utilities etc.

About the Role:

As the AI Team Lead at Transmit Security you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation ensure delivery of high-impact projects and scale our data-driven capabilities across the organization.

This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap mentoring a growing team and collaborating with product engineering and business stakeholders to translate business challenges into practical machine learning solutions.

What youll do:

• Leadership & Team Management
  
  
• Lead mentor and grow a team of machine learning engineers and data scientists.
• Foster a culture of technical excellence collaboration and continuous learning.
• Define team goals measure progress and ensure high-quality deliverables.
  
  
• Strategy & Roadmap
  
  
• Own the data science strategy and align it with company objectives.
• Identify opportunities for applying machine learning and generative AI across products and internal systems.
• Evaluate emerging technologies tools and methodologies to keep the team ahead of the curve.
  
  
• Hands-On Technical Work
  
  
• Design prototype and implement ML models including LLM-powered copilots retrieval systems and fraud detection pipelines.
• Guide the deployment of models into production environments with scalability and reliability in mind.
  Ensure best practices for experimentation evaluation and monitoring.
  
  
• Cross-Functional Collaboration
  
  
• Work closely with engineering to integrate ML components into production systems.
• Partner with product managers to align solutions with customer needs and business priorities.
• Collaborate with security and compliance teams to ensure ethical and secure use of data.

What youll need:

• Proven experience leading backend or ML-platform engineering teams (2 years in a leadership role) including mentoring engineers and driving architectural decisions.
• Excellent coding skills in Python/TypeScript with hands-on experience building reliable backend services and tooling. Familiarity with modern ML frameworks (e.g. PyTorch TensorFlow Hugging Face) is a strong advantage.
• Experience designing deploying and maintaining production systems that integrate ML components including APIs microservices model serving layers feature pipelines monitoring and CI/CD/MLOps workflows.
  Solid understanding of distributed systems concepts performance optimization observability and operating services at scale.
  Strong communication skills with the ability to bridge technical product and business perspectives.
  Prior experience in cybersecurity fraud prevention or identity management is a plus especially with secure system architectures or ML-augmented decisioning systems.

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