A leading shipbuilding company in Singapore is seeking an AI Developer to develop and implement AI models using machine learning techniques. Candidates should have 2-3 years of experience in AI engineering and strong skills in React.js and Node.js. This role is ideal for those looking to grow in a dynamic industry with great opportunities.
Qualifications
2-3 years of experience in AI engineering or machine learning.
Experience in deploying machine learning models into production.
Strong proficiency in React.js for web applications.
Responsibilities
Develop AI models using machine learning and deep learning techniques.
Collaborate with data scientists to optimize AI models.
Implement natural language processing systems.
Skills
Machine learning
Deep learning
React.js
Node.js
JavaScript
HTML
CSS
AWS
APIs
Tools
TensorFlow
PyTorch
Keras
Scikit-learn
SQL
NoSQL
Job description
Overview
Join to apply for the AI Developer role at Seatrium.
Responsibilities
Develop and implement AI models using machine learning and deep learning techniques to solve complex business problems.
Develop and implement machine learning algorithms to enhance AI capabilities.
Collaborate with data scientists and engineers to optimize AI models and improve performance.
Design and integrate natural language processing systems for AI-powered applications.
Research and implement cutting-edge AI technologies and frameworks.
Create and maintain documentation for AI model development and deployment processes.
Test and validate AI models to ensure accuracy and reliability in real-world scenarios.
Job Requirements
At least 2-3 years of experience in AI engineering or machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
Experience in deploying machine learning models into production.
Strong proficiency in React.js for building modern, responsive web applications.
Proficiency in Node.js for backend development and API creation.
Experience with JavaScript, HTML, CSS, and other front-end technologies.
Familiarity with cloud platforms like AWS or Azure for deploying and scaling applications.
Experience with database management systems (e.g., SQL, NoSQL).
Ability to work with APIs and integrate third-party services.