
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
1. BFSI Solutions
2. KYC and background check Solutions
3. 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 & InfoSec: 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 (TensorFlow/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: https://timbleglance.com

About Timble Technologies
About
Timble technology is the fastest growing IT company dealing in Artificial Intelligence, Speech Recognition, Facial Recognition, Cyber Security, Bespoke Solutions in Delhi. Timble technology is achieving success and getting more and more reputation in the field of IT
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- Knowledge of Kubernetes.
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Candidate must have:
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- BE in CS, EE, or Telecommunications from a recognized university.
- Knowledge of NOC Process
- Technology exposure towards Telecom – 5G,4G,IMS with a solid understanding of Telecom Performance KPI’s, and/or Radio Access Network. Knowledge of call flows will be advantage
- Experience with Linux OS and SQL – mandatory.
- Residence in Delhi – mandatory.
- Ready to work in a 24×7 environment.
- Ability to monitor alarms based on our environment.
- Capability to identify and resolve issues occurring in the RADCOM environment.
- Any relevant technical certification will be an added advantage.
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- Based in RADCOM India offices, Delhi.
- Responsible for all NOC Monitoring and technical support -T1/T2 aspects required by the process for RADCOM’s solutions.
- Ready to participate under Customer Planned activities / execution and monitoring.
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- Knowledge of codebases and version control systems (Git).
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Location : Bangalore (Work from home till pandemic).
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- Writing, deploying and managing micro services.
- Migrate existing components into distributed micro service architecture.
- AWS Cloud / Google Cloud Platform (Manage Infrastructure).
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- Unit test cases, automation.
- Database optimisation.
- Design of highly concurrent backend architecture.
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- Sound fundamentals of authentication, authorization, payment processes, data security.
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- Good to have experience in Kafka / JMS / RabbitMQ / AWS Elastic queue.
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