Python Lead-AI

Lead the architecture, development, and optimization of Python‑based AI systems, including training pipelines, inference services, and backend components Build scalable, efficient, and maintainable codebases that support large‑scale machine learning and LLM workloads Collaborate with ML engineers and researchers to integrate models into production environments Design and implement APIs, microservices, and internal tools for AI workflows Optimize model serving performance through batching, caching, quantization, and GPU/accelerator utilization Oversee data processing pipelines, feature extraction workflows, and distributed computation frameworks Establish engineering best practices, code quality standards, and technical guidelines for the team Mentor junior engineers and provide technical leadership across projects Work with product and platform teams to translate requirements into technical solutions Ensure systems meet standards for reliability, observability, security, and cost efficiency

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields 5+ years of experience in Python development, with at least 2 years in a technical leadership role Strong expertise in Python frameworks and libraries used in AI/ML (e.g., PyTorch, TensorFlow, FastAPI, NumPy, Pandas) Experience building scalable backend systems, APIs, or microservices Solid understanding of machine learning workflows, model deployment, and inference optimization Familiarity with distributed systems, message queues, and high‑performance computing Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) Strong debugging, performance tuning, and system‑design skills Excellent communication and leadership abilities

职位描述

职位要求

Fiona Lu