About the role

AI summarised

The AI Developer / AI Analyst role focuses on developing, implementing, and optimizing AI and machine learning models to solve business problems. Responsibilities include designing NLP systems, deploying models into production, collaborating with cross-functional teams, and staying current with emerging AI technologies. The role requires a blend of software engineering and AI expertise, with strong emphasis on full-stack development and cloud-based deployment.

IndustrialOnsite

Key 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 natural language processing (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

Requirements

Holds a 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, machine learning, and deep learning 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 application deployment and scaling
Experience with database management systems, including SQL and NoSQL
Ability to work with APIs and integrate third-party services effectively