job description
Join Hartalega, a global leader in high-quality glove manufacturing, as we expand our AI and Data Analytics capabilities in our Technology Division. We are seeking a dynamic Executive - AI Integration & Data Analyst to support our mission of leveraging cutting-edge machine learning, data engineering, and predictive analytics to drive innovation and operational excellence.
Based in the vibrant hub of Badung, Bali, you will collaborate with cross-functional teams to transform raw data into actionable insights, optimize AI/ML models, and contribute to data-driven decision-making. This role offers a unique opportunity to work at the intersection of technology, manufacturing, and business intelligence in a fast-paced, globally recognized organization.
If you are passionate about AI, data science, and problem-solving, and thrive in a collaborative environment, we invite you to apply and be part of our journey toward digital transformation.
Responsibility
- Assist in preparing, cleaning, and structuring datasets for AI/ML model training and validation.
- Perform feature engineering to enhance model accuracy and performance under the guidance of senior team members.
- Validate and interpret AI/ML model outputs, ensuring alignment with business objectives and data integrity.
- Monitor and analyze data trends, anomalies, and patterns to provide actionable insights for process improvements.
- Collaborate with data scientists, engineers, and business stakeholders to refine AI-driven solutions.
- Develop and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau) to visualize key metrics.
- Support the implementation and scaling of AI models in production environments.
- Stay updated with emerging AI/ML technologies and industry best practices to drive continuous innovation.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Minimum 2 years of experience in data analysis, AI/ML support, or a similar role.
- Proficiency in Python, SQL, or R for data manipulation and analysis.
- Experience with data preprocessing, feature engineering, and model validation.
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and teamwork abilities to collaborate across departments.
- Knowledge of BI tools (e.g., Power BI, Tableau) and cloud platforms (e.g., AWS, Azure) is advantageous.