Machine Learning Engineer (Project Based)
South Jakarta, South Jakarta City, Indonesia
INDICO
INDICO hadir mengakselerasi manfaat inovasi digital yang dapat buka semua kemajuan bagi masyarakat.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.
Requirements
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Computer Science Computer Vision Engineering GCP Hadoop Java LLMs Machine Learning Mathematics ML models MLOps NLP Pipelines Python PyTorch Rust Scala Scikit-learn Spark TensorFlow Unstructured data
Perks/benefits: Career development
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