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. ● UdhaarSaathi: A structured working capital platform built exclusively for QR active kirana stores, pharmacies, and small retailers. Role Overview We are looking for a Senior MLOps Engineer with 3–6 years of experience to build, deploy, and scale AI/ML systems in production. The role will combine AI/ML engineering, MLOps, backend/API development, cloud infrastructure, and AI platform optimization.

Key Responsibilities
• Design, develop,



and deploy ML/AI models and AI-powered applications for production use cases.
• Build and maintain MLOps pipelines for model training, evaluation, deployment, monitoring, and retraining.
• Develop scalable APIs and backend services to integrate AI/ML models with business applications.
• Own end-to-end productionization of AI solutions, including architecture, deployment, monitoring, and reliability.
• Work on AWS/cloud infrastructure for AI and data workloads and optimize infrastructure for performance and cost.
• Build frameworks and processes to monitor and control AI/LLM/API costs.
• Implement model and system monitoring, including performance, drift, latency, failures, data quality, and business KPIs.
• Work with data engineers to build reliable data pipelines and data platforms required for AI/ML systems.
• Evaluate and integrate LLMs, GenAI models, AI agents, and third-party AI services where applicable.
• Build experimentation frameworks to quickly evaluate current AI models, tools, and approaches.
• Ensure AI systems are scalable, secure, observable and production-ready.
• Troubleshoot production issues and work with DevOps/Engineering teams for quick resolution.
• Maintain technical documentation, architecture decisions, deployment processes, and operational runbooks.
• Drive engineering best practices around Git, CI/CD, Docker, cloud deployment, testing, and code quality.
• Mentor junior engineers and contribute to technical design and architecture discussions.

📌 MLOps Engineer (Mumbai)
🏢 VARTIS Platforms
📍 Mumbai