Company DescriptionAgriAku is a leading technology-based local agribusiness company in Indonesia. Launched late last year, AgriAku's mission is empower mitra through sustainable, inclusive and profitable technology business models.**Job Description**:- Create and maintain end-to-end ML/Deep Learning projects- Work with structured and unstructured data, such as (but not limited to) text, categorical, ordinal, numeric, images, and geospatial- Design and perform experiments to optimize hyperparameters in various ML models, taking into consideration the latest and/or best DS techniques prevalent for the problem at hand- Implement Continuous Improvement (CI) / Continuous Development (CD) of Various ML Models to Cloud Environments- Collaborate with other team (product, operation, and commercial) to develop data science solution that bring positive impact on the business- Create and maintain end-to-end ML/Deep Learning projects- Work with structured and unstructured data, such as (but not limited to) text, categorical, ordinal, numeric, images, and geospatial- Design and perform experiments to optimize hyperparameters in various ML models, taking into consideration the latest and/or best DS techniques prevalent for the problem at hand- Implement Continuous Improvement (CI) / Continuous Development (CD) of Various ML Models to Cloud Environments- Collaborate with other team (product, operation, and commercial) to develop data science solution that bring positive impact on the business**Qualifications**:- Min. 2 years of proven experience in building ML or Deep Learning models for various projects, such as anomaly detection, clustering, recommendation, prediction, or image and text classification.- Have solid fundamental of ML and Deep Learning algorithms.- Demonstrate experience in developing / implementing optimization algorithms in Python / R.- Demonstrate experience in developing / implementing time-series algorithms in Python / R.- Demonstrate experience in Python/R and Deep Learning frameworks such as TensorFlow/Keras, Caffe, or PyTorch.- Have excellent knowledge in mathematics and statistics.- Experience in Cloud environment, preferably GCP.- Familiar with Docker and Kubernetes is a plus.- Demonstrate a good communication skill and a positive team player.Additional Information- Hybrid working options during the COVID-19 pandemic (i.e. working from home and within the main Jakarta office).
