Artificial Intelligence Software Development Engineer
2 months ago
At Aptly Technology Corporation, we are seeking an expert in AI Software Development to ensure the quality and scalability of our AI-driven applications. This role requires a deep understanding of both AI/ML concepts and full-stack development using Python and Node.js.
Key Responsibilities:
Develop and execute automated testing frameworks to validate AI learning models, APIs, and backend services.
Develop Python and Node.js applications using AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Create and maintain test automation frameworks, especially for Python and Node.js applications.
Required Skills & Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience: 3+ years of experience in software development and test automation using Python and Node.js.
Programming Skills:
- Strong proficiency in Python, particularly in the context of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Strong experience in Node.js for backend development, including RESTful APIs and microservices.
- Hands-on experience with automation tools like Selenium, Cypress, PyTest, Mocha, or Chai.
AI/ML Knowledge: Understanding of machine learning concepts and experience with model evaluation, validation, and testing.
Automation Expertise: Experience in building and maintaining test automation frameworks, especially for Python and Node.js applications.
Backend API Testing: Familiarity with tools like Postman, Newman, or REST Assured for API testing.
Performance Testing: Experience with performance and load testing tools like JMeter, Locust, or k6.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Ability to work in an agile environment and adapt to changing priorities.
Key Technology to focus on:
- Python Testing: Experience with frameworks like PyTest, Unittest, or Behave for automating AI model and data pipeline testing.
- Node.js Testing: Hands-on experience with Mocha, Chai, Jest, or Supertest for testing Node.js-based services and APIs.
- UI Testing: Experience with Selenium, Cypress, or Playwright for end-to-end testing of web interfaces interacting with AI services.
- API Testing: Knowledge of API testing tools like Postman, Newman, or REST Assured for automating the testing of Node.js RESTful APIs.
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