EMPREGO

Data Scientist

Agriaku-Jakarta, Indonesia

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.

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).