Artificial Intelligence (Machine Learning, Deep Learning, Robotic)
Posted 1 年前Updated 3 個月前
Artificial Intelligence (AI) is doing computer activities with artificial intelligence designed to include speech recognition, learning, planning, and problem-solving. in Artificial Intelligence several capabilities are developed, among others: Deep learning or known as the deep neural network is one aspect of AI that focuses on imitation of learning that humans use to get certain types of knowledge. The simplest, deep learning can be considered as a way to automate predictive analytics. Machine Learning is often associated with AI that provides computing with the ability to perform certain tasks such as recognition, diagnosis, planning, robot control, prediction, etc. without having to be programmed openly. Machine Learning focuses on the development of algorithms that can teach them to develop when discovering new data. Robotic is the use of software that is accompanied by Artificial Intelligence (AI) and Machine Learning capabilities to overcome repetitive tasks with a high enough volume previously carried out by humans. These tasks consist of customer service, calculations, and maintenance of recorded transactions that have been done before
- Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
- Identify and choose right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
- Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
- Involve in development of AI Platform and AI-nization projects.
- Automate infrastructure used by the Data Science team
- Convert machine learning models into APIs so that other applications can access them Requirement
- Education minumun Bachelor (S1) or Masters (S2) or Ph.D. degree in Computer Science, Engineering, Physics, Mathematic, Machine Learning, Operational Research, Statistics, Business Analytic.
- Have 1- 3 years hands-on experience (Junior)/3-5 years hands-on experience (Middle) / more than 5 years of experience (Senior) applying machine learning techniques to solve real-world problem, architecting, training and analyzing for at least one of the following applications: Object detection, Image segmentation, Sensor fusion, Temporal fusion (tracking)
- Experience with a deep learning or Machine learning or Robotic framework
- Experience with Caffe, TensorFlow, MxNet, Keras, Theno .
- Experience with a big data platform such as Hadoop or Spark.
- Experience with scripting languages such as Python or R or C++
- Experience with both SQL or NoSQL database.
- Excellent written and oral communication skills.
- Be proficient in the use of both written and spoken business English.
- Strong passion in mathemathic, statistic and programming.
- Have certification from trusted institutions recognized by professional organizations.
Must have skills
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About the company
Codex is Telkom Indonesia’s initiative with one main goal, to deliver high quality digital product as innovation enablement, by using Lean, Agile, and Squad Framework.