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

• 3–6 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