Job Description & How to Apply Below
Job Title:
Product Lead or Tech Lead (AI & Infrastructure)
Location
- Delhi
Job type:
Full time, On site
About Us:
TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals
BFSI Solutions
KYC and background check Solutions
AI Solutions
Role Overview
- You will be the architectural backbone of Timble's AI engine. This role requires a strong backend & systems mindset with exposure to AI/ML systems —balancing the development of high-accuracy fraud detection models with the scalable infrastructure required to run them.
Key Responsibilities
Engineering Leadership:
Lead the development of our core AI products, including Bank Statement Analyzers, Face Match technology, and Electronic Residence Physical Verification (ERPV).
AI/ML Architecture:
Design and deploy 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 our 30+ high-quality APIs.
Hands-on Contribution:
Remain hands-on with code when required, especially for critical modules, core architecture decisions, and troubleshooting.
Practical AI Application:
Work on integrating and scaling AI/ML components in production. You must have the ability to apply complex AI solutions to solve real-world business problems.
Technical Strategy & Info Sec:
Oversee Information Security protocols to protect proprietary financial data. Lead IP-related technical work, including patent-pending research for our authentication engines.
Mentorship:
Act as the technical North Star for SDE-1 and SDE-2 engineers, instilling a culture of clean code, scalability, and cloud economics.
What We're Looking For
Technical Expertise:
Strong backend engineering expertise (Python or similar), with experience in building and maintaining scalable systems. Exposure to ML frameworks (Tensor Flow/PyTorch) is a plus.
Domain Knowledge:
Previous experience in Fintech, Cybersecurity, or BFSI tech stacks is highly preferred.
Infrastructure
Skills:
Solid experience with cloud infrastructure (AWS/GCP/Azure) and maintaining high availability.
Vision:
The ability to translate complex fraud patterns into automated, executable code and a passion for 'efficiency by design.'
Learn more about us at:
Skills:
- Machine Learning (ML), Artificial Intelligence (AI), Python, fintech, Cyber Security, BFSI, AWS, Azure, GCP, PyTorch, Tensor Flow, ML framework, RESTful APIs, API and ERPV
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