Job Description

Design, develop, and implement machine learning and statistical models tailored for innovative application features.
Work closely with application development teams to integrate models and data-driven features into production systems.
Write clean, efficient, and scalable code primarily using Python for model training, deployment, and automation.
Utilize and manage cloud resources on AWS and/or Azure for data storage, processing, and model deployment (e.g., using services like SageMaker, Azure ML, or cloud-based data warehouses).
Rapidly prototype and develop end-to-end data products and proof-of-concepts (POCs) that solve emerging business challenges.
Communicate complex methodologies and results effectively to both technical and non-technical stakeholders.

Requirements

Minimum 3 years of professional experience in Data Science, Machine Learning Engineering, or Application Development involving data integration.
Expert proficiency in Python and its scientific libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
Hands-on experience working with at least one major cloud platform, preferably AWS or Azure, including understanding of their data and compute services.
Solid understanding of software development principles, version control (Git), and model deployment/monitoring best practices.

Notes:

Salary: Rp gross

Working arrangement: Full WFO (South Jakarta)