Role: Senior Machine Learning Engineer

Function: Engineering

Location: Not specified

Type: Full-time

Compensation: Not specified

Industry: Fintech, Digital Identity, Document Automation

About Company

A Bengaluru-based enterprise tech startup transforming India's digital landscape through paperless solutions. The company powers financial inclusion for 100+ million users and 1,500+ enterprises.

You'll tackle complex challenges like identity verification, document automation, and fraud detection while ensuring regulatory compliance. Founded in 2016, the company has raised funding from notable investors including Groww and Rainmatter.

Join 90 passionate engineers and product builders who value speed, innovation, and deep thinking in a people-first culture.

Position Overview

You'll design, build, and deploy production-grade ML systems that power document understanding, fraud detection, and identity verification for millions of users. You'll work on cutting-edge problems involving computer vision, LLMs, and multimodal AI while collaborating with backend, platform, and product teams. You'll own the complete ML lifecycle from data analysis to deployment, directly impacting financial inclusion across India's digital ecosystem.

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

• 4-10 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
• Competitive compensation and growth opportunities in a fast-scaling startup