Machine Learning Engineer (Project Based)

About Us

INDICO is a digital technology subsidiary company of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward, INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy.

INDICO is seeking a talented Machine Learning Engineer to join our dynamic team on a project basis. You will be responsible for designing and implementing machine learning models that solve real-world problems while collaborating with various teams to provide actionable insights.

What you will do but not limited to:

• Design and implement machine learning models and algorithms.
• Conduct experiments to optimize model performance.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Perform data preprocessing, feature selection, and model evaluation.
• Monitor and maintain machine learning systems and pipelines in production.
• Communicate findings and present results to stakeholders.

• Bachelor degree in Computer Science, Engineering, Mathematics, or a related field from reputable university
• Real-world experience in developing and deploying AI / ML applications, both with structured and unstructured data (such as Computer Vision, NLP, LLM)
• Proficiency in programming languages (such as Python, Java, Scala, Rust)
• Strong understanding popular AI / ML frameworks and libraries (such as Tensorflow, PyTorch, Scikit-learn)
• Knowledge in cloud platforms (AWS, Azure, GCP) and MLOps practices
• Understanding in software development practices
• Experience with big data technologies (such as Hadoop, Spark) is a plus
• Fluency in English and Bahasa Indonesia