Job Description
📋 Description Develop high-performance DL inference solutions for CV workloads with high throughput and low latency. Profile CV and Vision-Language Models to optimize performance and power efficiency. Design end-to-end MLOps workflows for model deployment, monitoring and retraining. Leverage ML frameworks and tools to improve system performance. Create methods to improve training efficiency. Implement GPU kernels for custom architectures and optimized inference. 🎯 Requirements Hands-on MLOps, ML inference optimization, and edge deployment. Strong DL fundamentals and state-of-the-art models/architectures. Strong CV, image and video processing foundations. Experience building ML pipelines for vision or vision-language tasks. Knowledge of ML security and compliance in ML infra. Proficient with ML frameworks and libraries; lifecycle from architecture to deployment. 🎁 Benefits Competitive base salary and equity in stock options. Comprehensive health insurance and benefits. 401K retirement savings plan. Paid vacation, sick leave, and holidays. Relocation assistance may be provided.
