
Machine Learning Engineer (Artificial Intelligence AI)
RM 500 - RM 5,000 / month
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- Identity & Mission
OrionMano is a Digital Solution Partner who aims to be the leading authority in pioneering SEO strategies, empowered by innovative IT solutions, shaping the digital landscape by setting the industry standards for excellence. - Growth & Rewards
Exciting growth prospects and the potential for substantial income. We believe in fair recognition for your hard work, positive attitude, and contributions to the company's success. - Relationships & Collaboration
Challenges are inevitable but don't worry, we've got your back. We foster a culture of camaraderie, passion, and hard work rule. You'll work alongside awesome colleagues, entrepreneurs, and partners as we tackle this adventure together! - Dreams & Vision
Sparking your dreams, letting you run wild. With plenty of chances to grow personally and professionally, we're here to help you reach your goals of fast growth, and fulfilling your dreams. - Love & Enthusiasm
We're all about passion and excitement, seeking individuals who share our dedication. Join us for fun team activities that make work-life balance a breeze!
Job Description
- AI/ML Model Development:
- Design, develop, and implement machine learning models and algorithms for software applications.
- Use deep learning, reinforcement learning, natural language processing (NLP), and other AI techniques to build advanced models.
- Analyse large datasets to identify patterns, trends, and insights that can inform AI model development.
- Develop, optimise, and deploy AI models in production environments, ensuring their scalability, reliability, and performance. - Collaboration and Integration:
- Work with cross-functional teams (software engineers, data scientists, product managers) to integrate AI/ML solutions into existing software products and platforms.
- Collaborate with software engineers to embed AI capabilities into software products, enhancing features and functionalities.
- Troubleshoot and resolve issues related to AI and machine learning models and their integration into software systems. - Documentation and Communication:
- Write clean, maintainable code and document processes, findings, and solutions for both technical and non-technical stakeholders.
- Present technical results and model performance to various internal teams in a clear and understandable manner. - Monitoring and Improvement:
- Continuously monitor and improve the performance of deployed AI models, iterating as necessary to achieve optimal results.
- Research and stay up-to-date with the latest AI and machine learning advancements and best practices.