Senior Machine Learning Engineer

Role: Senior Machine Learning Engineer
Function: Machine Learning / Artificial Intelligence
Location: Bengaluru
Type: Full-time
Industry: Computer Software, Fintech
About Company
The company is a Bengaluru-based enterprise tech startup founded in 2016. It builds paperless digital solutions that power financial inclusion across India.
The company serves 100 million+ users and 1,500+ enterprises. Its products cover digital identity verification, e-signing, document automation, and payment automation.
All solutions are designed to comply with RBI, SEBI, and other regulatory standards. The company is backed by notable investors and led by founders with backgrounds at Flipkart and Twitter.
Position Overview
We're seeking a Senior Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the company's document understanding, fraud detection, and identity verification solutions. You'll work on cutting-edge problems involving computer vision, LLMs, and multimodal AI while collaborating with backend, platform, and product teams to deliver scalable ML systems that serve millions of users.
Role & Responsibilities
Design, build, train, and deploy ML and Deep Learning models for production
Develop ML/AI solutions for document understanding, face analysis, forgery detection, and visual reasoning
Build and integrate LLM/VLM/GenAI solutions for extraction, reasoning, and decision support
Own the complete ML lifecycle from data analysis to deployment and monitoring
Write clean, efficient, and testable Python code for ML pipelines and services
Collaborate with cross-functional teams to ship scalable ML systems
Optimize model performance, reliability, latency, and cost in production environments
Mentor junior engineers and establish ML engineering best practices
Must Have Criteria
4–7 years of hands-on Python experience for ML, DL, and GenAI development
Strong fundamentals in Machine Learning, Deep Learning, linear algebra, and optimization
Experience with both PyTorch and TensorFlow for deep learning model development
Practical Computer Vision experience with OpenCV and PIL for image processing
Hands-on experience with OCR engines and document processing pipelines
Experience with LLMs and GenAI systems including prompting and fine-tuning
Proven track record of taking ML models from development to production
Nice to Have
Experience in fintech, compliance, fraud detection, or identity verification domains
MLOps experience with model monitoring, CI/CD pipelines, and deployment automation
Experience with ML system design and architecture at scale
Background in document processing, OCR, or automated verification systems
What We Offer
Opportunity to work on high-impact AI problems serving top fintechs in India
Ownership of systems operating at scale with legal and financial significance
Freedom to design, experiment, and ship without bureaucratic overhead
Strong engineering culture focused on fundamentals and long-term thinking
Growth opportunities in a fast-scaling startup

Work arrangement
No