AI Developer
角色摘要 KDCI 外包寻找 AI 开发人员设计，构建和部署基于 AI 的功能和应用程序。你将与机器学习模型和 API 合作创建智能解决方案，以改善产品和工作流程。关键责任 ·设计和开发基于 AI 的应用程序和功能 ·将机器学习模式和第三方 AI API 整合到产品中 ·建立和维护数据管道来支持模型培训和推断 ·测试并验证人工智能的系统进行精确性，性能和可靠性 ·与产品团队协作确定人工智能集成机会 ·记录技术方法并保持清洁，可重复使用代码 要求要求 · 2年以上构建人工智能或机器学习应用程序的经验 · Python 和普通 ML 图书馆 (scikit-learn, PyTorch, TensorFlow) 的熟练知识 · AI 提供商 （OpenAI, Anthropic 等）的 API 集成经验 ·理解核心 ML 概念 （培训，推断，评估）·强大的解决问题和调试技能。
查看英文原文
Role Summary
KDCI Outsourcing is looking for an AI Developer to design, build, and deploy AI-powered features and applications. You'll work with machine learning models and APIs to create intelligent solutions that improve products and workflows.
Key Responsibilities
- Design and develop AI-powered applications and features
- Integrate machine learning models and third-party AI APIs into products
- Build and maintain data pipelines to support model training and inference
- Test and validate AI systems for accuracy, performance, and reliability
- Collaborate with product teams to identify opportunities for AI integration
- Document technical approaches and maintain clean, reusable code
Requirements
Requirements
- 2+ years of experience building AI or machine learning applications
- Proficiency in Python and common ML libraries (scikit-learn, PyTorch, TensorFlow)
- Experience integrating APIs from AI providers (OpenAI, Anthropic, etc.)
- Understanding of core ML concepts (training, inference, evaluation)
- Strong problem-solving and debugging skills
Nice-to-Haves
- Experience with vector databases and embeddings
- Familiarity with MLOps tools and model deployment pipelines
- Exposure to computer vision or NLP projects
Highlights
Build AI-powered applications using ML models, APIs, and modern AI development tools.
Originally posted on Himalayas