We build Africa’s leading identity verification service, expanding access to secure financial services across the continent in a fast-growing market. We have built proprietary machine learning algorithms and a technology platform to cater for all skin tones, entry-level devices and low bandwidth. We perform 10M+ identity checks per month and are Series B funded with enough revenue to focus on getting to profitability.
The role - Deploy and optimize scalable full-stack ML serving applications across multiple frameworks (PyTorch, TensorFlow, vLLM) and using tech like FastAPI and NVIDIA Triton Inference Server - Build MLOps from the ground up, including data annotation, monitoring, and evaluation. - Fine-tune, optimize, and deploy multi-modal models, integrating LLMs with computer vision systems. - Integrate computer vision and other ML model results with the rest of the tech stack, including front-end web and mobile interfaces and back-end database services.
You - 5+ years professional experience in software engineering, with demonstrated experience working with large datasets, machine learning, and/or LLMs. - Proficient in Python. - Extensive experience with DevOps tools and practices, including CI/CD and containerization. - Experience with AWS technologies (such as S3, EC2, RDS, DynamoDB) or similar cloud platforms (Google Cloud or Azure).
Compensation: $160k-$210k + equity
If interested, please apply at https://wellfound.com/l/2AUVAy or email me directly at david@usesmileid.com.