Product Lead or Tech Lead (AI & Infrastructure)

As a Product Lead or Tech Lead (AI & Infrastructure) at TIMBLE in Delhi, you will play a crucial role as the architectural backbone of Timbles AI engine. Your responsibilities will revolve around developing high-accuracy fraud detection models and ensuring the scalability of the infrastructure needed to support them effectively. Key Responsibilities: - Engineering Leadership: Lead the development of core AI products such as Bank Statement Analyzers, Face Match technology, and Electronic Residence Physical Verification (ERPV). - AI/ML Architecture: Design and implement AI/ML-driven systems for document intelligence, fraud detection, and automation to enhance real-time intelligence. - Delivery Ownership: Take end-to-end ownership of features and ensure timely delivery in high-stakes production environments. - System Design & Scalability: Design and optimize high-throughput, low-latency API systems capable of handling real-world production loads across multiple high-quality APIs. - Hands-on Contribution: Stay hands-on with code for critical modules, core architecture decisions, and troubleshooting. - Practical AI Application: Integrate and scale AI/ML components in production to solve real-world business problems efficiently. - Technical Strategy & InfoSec: Oversee Information Security protocols to protect proprietary financial data and lead IP-related technical work, including patent-pending research for authentication engines. - Mentorship: Act as a technical mentor for SDE-1 and SDE-2 engineers, promoting clean code, scalability, and cloud economics. Qualifications Required: - Technical Expertise: Strong backend engineering skills (Python or similar) with experience in building and maintaining scalable systems. Knowledge of ML frameworks like TensorFlow/PyTorch is advantageous. - Domain Knowledge: Prior experience in Fintech, Cybersecurity, or BFSI tech stacks is highly desired. - Infrastructure Skills: Proficiency in cloud infrastructure (AWS/GCP/Azure) and ensuring high availability. - Vision: Ability to translate complex fraud patterns into automated, executable code and a dedication to "efficiency by design." Please visit TIMBLE's website to learn more about us. As a Product Lead or Tech Lead (AI & Infrastructure) at TIMBLE in Delhi, you will play a crucial role as the architectural backbone of Timbles AI engine. Your responsibilities will revolve around developing high-accuracy fraud detection models and ensuring the scalability of the infrastructure needed to support them effectively. Key Responsibilities: - Engineering Leadership: Lead the development of core AI products such as Bank Statement Analyzers, Face Match technology, and Electronic Residence Physical Verification (ERPV). - AI/ML Architecture: Design and implement AI/ML-driven systems for document intelligence, fraud detection, and automation to enhance real-time intelligence. - Delivery Ownership: Take end-to-end ownership of features and ensure timely delivery in high-stakes production environments. - System Design & Scalability: Design and optimize high-throughput, low-latency API systems capable of handling real-world production loads across multiple high-quality APIs. - Hands-on Contribution: Stay hands-on with code for critical modules, core architecture decisions, and troubleshooting. - Practical AI Application: Integrate and scale AI/ML components in production to solve real-world business problems efficiently. - Technical Strategy & InfoSec: Oversee Information Security protocols to protect proprietary financial data and lead IP-related technical work, including patent-pending research for authentication engines. - Mentorship: Act as a technical mentor for SDE-1 and SDE-2 engineers, promoting clean code, scalability, and cloud economics. Qualifications Required: - Technical Expertise: Strong backend engineering skills (Python or similar) with experience in building and maintaining scalable systems. Knowledge of ML frameworks like TensorFlow/PyTorch is advantageous. - Domain Knowledge: Prior experience in Fintech, Cybersecurity, or BFSI tech stacks is highly desired. - Infrastructure Skills: Proficiency in cloud infrastructure (AWS/GCP/Azure) and ensuring high availability. - Vision: Ability to translate complex fraud patterns into automated, executable code and a dedication to "efficiency by design." Please visit TIMBLE's website to learn more about us.