AI 工程师
AI ENGINEER
这是一个远程职位。人工智能工程师将设计，构建和优化支持企业自动化，分析和智能决策的机器学习和 AI 解决方案。该角色需要强大的分析思维，技术执行以及在远程咨询团队内有效工作的能力。关键责任 ·开发和部署机器学习模型和 AI 解决办法 ·分析数据集并优化数据管道 ·与云和工程团队合作实现 AI 支持自动化和基于 AI 的工作流动计划 ·参与解决方案设计和技术讨论 ·记录技术过程和项目更新 需要 · 48年的人工智能，机器学习或数据工程经验 · Python 和 ML 框架 (TensorFlow, PyTorch, Scikit-learn) 的强大熟练知识 ·云平台 （AWS, Azure 或 GCP）的经验 · API,SQL 和数据处理工作流程的知识 · 解决问题和沟通能力 · 在远程，跨功能团队工作的能力优先 ·金融技术，银行或企业咨询环境中的经验 ·了解 MLOps 和 AI 部署管道 ·相关的 AI 或云认证是优势 原来在喜马拉雅山发布的
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This is a remote position.
The AI Engineer will design, build, and optimize machine learning and AI solutions that support enterprise automation, analytics, and intelligent decision-making. The role requires strong analytical thinking, technical execution, and the ability to work effectively within remote consulting teams.
Key Responsibilities
· Develop and deploy machine learning models and AI solutions
- Analyze datasets and optimize data pipelines
- Collaborate with cloud and engineering teams on AI implementation
- Support automation and AI-driven workflow initiatives
- Participate in solution design and technical discussions
- Document technical processes and project updates
Requirements
· 4–8 years of experience in AI, Machine Learning, or Data Engineering
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of APIs, SQL, and data processing workflows
- Strong problem-solving and communication skills
- Ability to work in remote, cross-functional teams
Preferred
· Experience within fintech, banking, or enterprise consulting environments
- Understanding of MLOps and AI deployment pipelines
- Relevant AI or Cloud certifications are an advantage
Originally posted on Himalayas