Responsibilities
- Design, develop, and deploy AI/ML models for business applications.
- Build, train, evaluate, and optimize machine learning and deep learning models.
- Develop and maintain data pipelines for AI model training and inference.
- Collaborate with cross-functional teams, including software engineers, data engineers, product managers, and business stakeholders, to deliver AI-driven solutions.
- Integrate AI models into production systems using APIs and cloud platforms.
- Perform data preprocessing, feature engineering, and model validation.
- Monitor model performance and continuously improve accuracy, scalability, and reliability.
- Research and evaluate emerging AI technologies, frameworks, and best practices.
- Document technical designs, model architectures, and deployment processes.
- Ensure AI solutions comply with security, privacy, and ethical AI standards.
Requirements
- Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
- 2–4 years of professional experience in AI, Machine Learning, or Data Science roles.
- Has experience delivering AI/ML solutions from development through production deployment.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and within a multidisciplinary team.
- Strong attention to detail and commitment to delivering high-quality solutions.
- Eagerness to learn and adapt to rapidly evolving AI technologies.
About the Company

MESINIAGA BERHAD
Mesiniaga Berhad is a leading digital transformation partner committed to Helping Customers Succeed through AI, cloud, cybersecurity, digital infrastructure, and managed services. For more than four decades, we have helped organisations improve resilience, accelerate innovation, and strengthen long-term competitiveness. Originating from IBM Malaysia's Information Products division, Mesiniaga continues to support Malaysia's digital transformation across the public and private sectors.