Manager (M3) - Sr Applied AI Engineer

About VARTIS Platforms (Formerly known as LenDenClub Techserve Pvt. Ltd.) At VARTIS Platforms, we are a corporate group on a mission to democratize credit access and empower millions of people through cutting-edge technology. We focus on building trust and convenience, leveraging AI to drive the information revolution for smarter risk management and operational efficiency. VARTIS Platforms is profitable, rapidly scaling, and industry-recognised. Our impact has been acknowledged with top honours, including being awarded as the Best Fintech Provider by Financial Express, a testament to our product excellence, customer experience, and leadership in regulated financial technology. Our portfolio includes: LenDenClub: An RBI-licensed P2P marketplace that connects borrowers with lenders in a seamless digital ecosystem. InstaMoney: Instant digital loans that enable quick, secure, and accessible financial support. NiveshGold: India’s next-gen digital vault for wealth preservation, starting with 100% pure, insured 24K digital gold. UdharSaathi: A structured working capital platform built exclusively for QR active kirana stores, pharmacies, and small retailers. Role Overview: We are looking for a Senior Applied AI Engineer to set technical direction for our applied AI work while staying deeply hands-on. This role offers the opportunity to work in a fast-paced fintech environment, where you will own the path from research to production across multiple AI systems. Must-Have Skills 6–8 years as an AI/ML Engineer, with sustained hands-on depth in computer vision or transformer-based models this is a building role, not an oversight one. Has taken multiple models from research to production and owned them post-launch through retraining, regressions, and incidents. Strong technical judgement on build vs. buy, fine-tune vs. prompt vs. classical ML able to defend the choice on cost, latency, and accuracy. Depth in either vision (classification, detection, segmentation, video, ViT/VLM) or language (LLM fine-tuning, embeddings, task adaptation), with the ability to design evaluation frameworks and data strategy around it. Proven ability to mentor engineers and turn ambiguous business problems into scoped, sequenced roadmaps. Preferred / Future-Ready Skills Fintech AI depth KYC, fraud, risk, or document intelligence at scale. Experience scaling GPU training and inference infrastructure with cost control. Exposure to model governance and explainability in a regulated environment.