AI Engineer

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Category: Technology Location: We are seeking a dynamic AI Engineer to help design and deploy cutting-edge artificial intelligence systems that drive innovation and automation across our platforms. This role bridges the gap between data science and software engineering, requiring expertise in developing, integrating, and optimizing AI-powered solutions. Responsibilities Design and develop AI systems and intelligent applications, leveraging deep learning, NLP, and computer vision. Collaborate with cross-functional teams to identify business problems solvable through AI. Build production-ready APIs that expose AI capabilities across platforms. Integrate AI solutions into mobile, web, or enterprise software stacks. Research and experiment with generative AI (LLMs, GANs), reinforcement learning, and other advanced techniques. Optimize inference performance and latency using quantization, pruning, or ONNX. Maintain AI systems through continuous evaluation, retraining, and performance tuning. Develop reusable AI components and tools that accelerate engineering velocity. Requirements Bachelor’s or Master’s degree in Computer Science, AI, Electrical Engineering, or related discipline. 3–6+ years of experience delivering AI/ML models into production systems. Strong programming skills in Python and familiarity with C++, Java, or Go. Proficiency with AI/ML libraries like TensorFlow, PyTorch, Hugging Face Transformers, OpenCV. Experience building RESTful APIs and microservices that expose AI logic. Familiarity with AI model lifecycle tools like MLflow, Triton Inference Server, ONNX Runtime. Experience deploying AI solutions to cloud platforms (Azure, AWS, GCP). Preferred Qualifications Experience with LLMs (e.g., GPT-3/4, Claude, Mistral) and prompt engineering. Familiarity with vector databases (Pinecone, Weaviate) and RAG systems. Hands-on experience with AI infrastructure tools (NVIDIA Triton, Ray, or DeepSpeed). AI-related certifications or contributions to open-source AI projects. Details Originally posted on Himalayas

类别：技术 地点：我们正在寻找一位充满活力的AI工程师，帮助设计和部署前沿的人工智能系统，推动我们各平台的创新和自动化。该职位弥合了数据科学与软件工程之间的差距，需要具备开发、集成和优化AI驱动解决方案的专业能力。 职责 设计和开发AI系统及智能应用，利用深度学习、NLP和计算机视觉。 与跨职能团队协作，识别可通过AI解决的业务问题。 构建生产就绪的API，在各平台暴露AI能力。 将AI解决方案集成到移动端、Web端或企业软件栈中。 研究并实验生成式AI（LLMs、GANs）、强化学习及其他先进技术。 使用量化、剪枝或ONNX优化推理性能和延迟。 通过持续评估、再训练和性能调优维护AI系统。 开发可复用的AI组件和工具，加速工程交付速度。 要求 计算机科学、AI、电气工程或相关学科的学士或硕士学位。 3–6年以上将AI/ML模型交付到生产系统的经验。 扎实的Python编程能力，并熟悉C++、Java或Go。 熟练使用TensorFlow、PyTorch、Hugging Face Transformers、OpenCV等AI/ML库。 具有构建暴露AI逻辑的RESTful API和微服务的经验。 熟悉MLflow、Triton Inference Server、ONNX Runtime等AI模型生命周期工具。 具有将AI解决方案部署到云平台（Azure、AWS、GCP）的经验。 优先资格 具有LLMs（例如GPT-3/4、Claude、Mistral）和提示工程经验。 熟悉向量数据库（Pinecone、Weaviate）和RAG系统。 具有AI基础设施工具（NVIDIA Triton、Ray或DeepSpeed）的实操经验。 与AI相关的认证或对开源AI项目的贡献。 详情 最初发布于Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准