AI Developer Analyst: Build & Deploy ML/NLP Solutions

Visa Hunt

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

Seatrium (SG) Pte. Ltd. is seeking an AI Engineer to develop, deploy, and optimize ML/DL models for business problems. You will design NLP systems and collaborate with data scientists, engineers, and stakeholders to improve model accuracy and scalability.

The role requires hands-on ML/DL experience, proficiency in TensorFlow, PyTorch, and Keras, and strong frontend/backend skills with React.js and Node.js. Cloud familiarity (AWS/Azure) and SQL/NoSQL knowledge are essential.

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
At least 2-3 years of experience in AI engineering, machine learning, or deep learning.
Hands-on experience deploying machine learning models into production environments.
Strong knowledge of AI, ML, and DL frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
Proficiency in React.js for developing modern, responsive web applications.
Proficiency in Node.js for backend development and API creation.
Strong working knowledge of JavaScript, HTML, CSS, and other front-end technologies.
Familiarity with cloud platforms such as AWS or Azure for deployment and scaling.
Experience with SQL and NoSQL databases.
Ability to work with APIs and integrate third-party services effectively.

Responsibilities

Develop, implement, and optimize AI models using machine learning and deep learning techniques to solve complex business problems.
Design and deploy machine learning algorithms to enhance AI capabilities and system performance.
Collaborate with data scientists, engineers, and stakeholders to improve model accuracy, efficiency, and scalability.
Design, integrate, and maintain NLP systems for AI-powered applications.
Research, evaluate, and implement emerging AI technologies, tools, and frameworks.
Test, validate, and monitor AI models to ensure accuracy, reliability, and real-world performance.
Prepare and maintain comprehensive documentation for AI model development, deployment, and maintenance.
Stay current with industry best practices, trends, and advancements in AI and machine learning to continuously enhance the company's technology stack.