Ai Automation Software Engineer

unis • China
Remote
This Job is No Longer Active This position is no longer accepting applications

Job Description

AI Automation & Software Engineer


Work Location: China, 100% Remote.


Unis a third-party logistics company in the United States seeks qualified AI Automation & Software Engineer candidates to work remotely.


Overview

We are looking for a skilled AI Automation & Software Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and optimizing automation frameworks and AI-driven solutions to enhance operational efficiency. You will work on developing robust software applications, integrating AI models, and collaborating with cross-functional teams to drive innovation and deliver high-quality results.


Key Responsibilities

Design and implement AI-driven automation solutions to optimize processes.

Develop and maintain software applications using best practices.

Collaborate with data scientists to integrate AI models into applications.

Identify and resolve software and automation issues in a timely manner.

Create and maintain technical documentation for software and automation frameworks.

Participate in code reviews and contribute to team knowledge sharing.

Stay up to date with industry trends and innovations in AI and automation.


Requirements

Bachelor's degree in computer science, Software Engineering, or a related field

Proven experience in software development and automation engineering

Hands-on experience with AI techniques and frameworks

Knowledge of database management systems and SQL


Skills

Proficiency in programming languages such as Python, Java, or C++

Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch)

Strong understanding of automation tools and techniques (e.g., Selenium, Ansible)

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

Ability to design and implement APIs and microservices architecture

Strong problem-solving skills and analytical thinking

Familiarity with DevOps practices and CI/CD pipelines

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