Company Description
AgriAku 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.
We are here to provide services for the needs of saprotan (sarana produksi pertanian) or agricultural production facilities that can be ordered through the application, anytime and anywhere with ease.
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).