PT. Synapsis Sinergi Digital
- Coordinating with other team members.
- Creating and managing the AI development process and overall infrastructure of a product.
- Conducting statistical analysis and interpreting the results to guide an organization’s decision-making process.
- Automating important infrastructure for the data science team.
- Developing infrastructures for data transformation and ingestion.
- Building AI models that make predictions based on large quantities of data.
- Explaining the usefulness of the AI models they create to a wide range of individuals within the organization, including collaborators and product managers.
- Transforming the machine learning models into APIs to interact with other application.
- Familiar with Machine Learning and Artificial Intelligence.
- Familiar with Neural Networks.
- Familiar with Natural Language Processing.
- Familiar with Robotics, Autonomous Driving Technology.
- Familiar with Visual Image Recognition.
- Familiar with Spark and Big Data Technologies.
- Familiar with Programming languages like Python, Java, Scala, R, and C++.
- Familiar with Data Science, Statistics and probability, Algorithms and Frameworks.
- Familiar with Data Engineering, Exploratory data analysis.
- Ability to Convert the machine learning models into application program interfaces (APIs) so that other applications can use it.
Further information: [email protected]