Top Tech Jobs & Startup Jobs in Mumbai

Lead design and production of face recognition and biometric CV systems. Build, train, optimize models (PyTorch/TensorFlow/JAX), own end-to-end ML pipelines (Airflow), ensure fairness, deploy low-latency inference on AWS, and mentor engineers.

Perform inbound and outbound prospecting to identify and qualify sales opportunities for Account Executives. Research target accounts and contacts, respond to leads, document activities in Salesforce, collaborate with sales and marketing to accelerate enterprise deals, recommend process improvements, and represent the Jumio brand professionally.

Lead architecture and development of the core native iOS SDK and related apps. Own feature delivery from design to public release, write high-quality tested code, collaborate with R&D and ML teams, support customers to resolve issues, and manage priorities across large-scale, distributed projects.

The DevOps Engineer IV will manage web services, drive operational excellence, mentor junior engineers, and lead cross-team projects, focusing on enhancing system reliability and performance.

Lead architecture and implementation of backend services for biometrics and ML model serving. Design scalable, reliable production systems, collaborate with platform and product teams, mentor engineers, operate services on AWS (ECS/Fargate, EC2, SageMaker), support real-time and batch inference, and contribute to CI/CD, observability, and deployment automation.

Design, develop, and deploy deep learning and computer vision models for fraud detection (including deepfake and synthetic data detection). Own production models, research new algorithms, deploy on AWS SageMaker or devices, monitor model performance, and collaborate with engineers and product managers in an Agile environment.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

Lead design and production of computer vision biometric systems (face detection, quality, attributes, recognition). Build/train models, implement fairness benchmarking, own end-to-end ML pipelines on AWS, optimize for low-latency inference, and mentor engineers.