AI Engineer

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Overview: We are seeking a highly skilled AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate has a strong background in computer science, mathematics, and data science, with hands-on experience building and deploying AI models that solve real-world problems. Key Responsibilities: Design, develop, and optimize machine learning and AI models for production use. Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications. Preprocess, clean, and analyze structured and unstructured datasets. Develop and maintain scalable pipelines for training, evaluation, and deployment of ML models. Monitor, test, and improve the performance of AI models in production. Stay updated with the latest AI/ML research, frameworks, and best practices. Ensure AI systems meet ethical, responsible AI, and security standards. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD is a plus). Proven experience in machine learning, deep learning, or natural language processing. Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.). Solid understanding of algorithms, data structures, probability, and statistics. Experience with data handling, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools. Knowledge of APIs, microservices, and deployment practices. Nice-to-Have Skills: Experience with large language models (LLMs), generative AI, or reinforcement learning. Familiarity with vector databases and semantic search. Understanding of distributed computing (Spark, Ray, Dask). Knowledge of CI/CD pipelines for ML (MLflow, Kubeflow, Vertex AI). Background in computer vision, NLP, or recommendation systems. Originally posted on Himalayas

职位概述：我们正在寻找一位高技能的AI工程师，负责设计、开发和部署机器学习与人工智能解决方案。理想的候选人应具备计算机科学、数学和数据科学的深厚背景，并拥有构建和部署解决现实问题的AI模型的实践经验。主要职责：设计、开发和优化用于生产环境的机器学习和AI模型。与数据科学家、工程师和产品团队合作，将AI解决方案集成到应用中。预处理、清洗和分析结构化和非结构化数据集。开发和维护用于ML模型训练、评估和部署的可扩展管道。监控、测试并改进生产环境中AI模型的性能。持续关注最新的AI/ML研究、框架和最佳实践。确保AI系统符合道德、负责任AI和安全标准。任职资格：计算机科学、数据科学、人工智能或相关领域的学士或硕士学位（博士学位为加分项）。在机器学习、深度学习或自然语言处理方面有 proven 经验。精通Python和ML框架（TensorFlow、PyTorch、scikit-learn、Hugging Face等）。对算法、数据结构、概率和统计有扎实理解。具有数据处理、特征工程和模型评估经验。熟悉云平台（AWS、GCP、Azure）和ML Ops工具。了解API、微服务和部署实践。加分技能：具有大型语言模型（LLMs）、生成式AI或强化学习经验。熟悉向量数据库和语义搜索。理解分布式计算（Spark、Ray、Dask）。了解ML的CI/CD管道（MLflow、Kubeflow、Vertex AI）。具有计算机视觉、NLP或推荐系统背景。原发布于Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准