Artificial Intelligence

Job Category : Software Engineering

Position Description

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 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.

Minimum Qualifications

Junior

• Education minimum 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 applying machine learning techniques to solve real-world problems, 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 mathematics, statistics and programming.
• Have certification from trusted institutions recognized by professional organizations.

Medium

• Education minimum Bachelor (S1) or Masters (S2) or Ph.D. degree in Computer Science, Engineering, Physics, Mathematic, Machine Learning, Operational Research, Statistics, Business Analytic.
• Have 3 - 5 years hands-on experience applying machine learning techniques to solve real-world problems, 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 and Machine learning or Robotic framework.
• Experience with Caffe, TensorFlow, MxNet, Keras, Theno.
• Experience with a big data platform such as Hadoop and Spark.
• Experience with scripting languages such as Python or R or C++Experience with both SQL and NoSQL database.
• Excellent written and oral communication skills.
• Experience developing software as part of a team.
• Be proficient in the use of both written and spoken business English.
• Strong passion in mathematics, statistics and programming.
• Have certification from trusted institutions recognized by professional organizations.

Senior

• Education minimum Bachelor (S1) or Masters (S2) or Ph.D. degree in Computer Science, Engineering, Physics, Mathematic, Machine Learning, Operational Research, Statistics, Business Analytic.
• Have more than 5 years hands-on experience applying machine learning techniques to solve real-world problems, 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 and Machine learning and Robotic framework.
• Experience with Caffe, TensorFlow, MxNet, Keras, Theno.
• Experience with a big data platform such as Hadoop and Spark.
• Experience with scripting languages such as Python or R or C++.
• Experience with both SQL and NoSQL database.
• Excellent written and oral communication skills.
• Experience developing software as part of a team.
• Be proficient in the use of both written and spoken business English.
• Strong passion in mathematics, statistics and programming.
• Have certification from trusted institutions recognized by professional organizations.