Teams at Fynd

Design and operate scalable Python backend services, APIs, data models, asynchronous workflows, and event-driven systems. Integrate agentic AI capabilities into product features, improve observability and production reliability, optimize performance, and support incident response. Collaborate with product and engineering teams to deliver resilient solutions across containerized and cloud-native environments.

Manage end-to-end PIM proof-of-concept and implementation initiatives, coordinating business, technology, and operations teams. Track milestones, risks, dependencies, and issues; gather requirements; document workflows; support PIM-as-a-service delivery; oversee service management, onboarding, and support; monitor outcomes; and recommend process improvements.

Develop, train, evaluate, and deploy machine learning and deep learning models using PyTorch. Collaborate with engineering and data teams, preprocess data, write production-grade Python, monitor deployed models, analyze performance, troubleshoot issues, document experiments, and apply current ML best practices. The role may also involve cloud platforms, containerized deployment, MLOps, GPU optimization, NLP, computer vision, or recommendation systems.