IT job opportunities available and ready for hire V6

Currently, we have a few of job opportunities available and ready for hire.

** Foreigner/Expat don’t hesitate to apply.

Reference:

  1. Fresh – No experience or less than 1 year.
  2. Junior – 1 – 2 or 3 – 5 years
  3. Senior – >3 or >5 years

Open Positions (per month salary):

  1. iOS Mobile Developer (5) – Up to RM9500
  2. Senior Java Developer (1) – Up to RM10500
  3. Senior Front End Developer (1) – Up to RM10500
  4. Senior .NET Developer (3) – Up to RM10500
  5. Junior .NET Developer (4) – Up to RM4500
  6. Junior JAVA Developer (4) – Up to RM4500
  7. Junior PHP Developer (10) – Up to RM4500
  8. Junior Ruby Developer (3) – Up to RM4500
  9. Big Data Engineer (1) – Up to RM12000
  10. C++ Developer (1) – Up to RM10500
  11. Data Scientist (2) – Up to RM12000
  12. Junior Front End Developer (1) – Up to RM4500
  13. Golang Developer (1) – Up to RM10500
  14. Senior PHP Developer (3) – Up to RM10500
  15. Full Stack Developer (1) – Up to RM10500
  16. Android Developer (6) – Up to RM10500
  17. React Native Developer (1) – Up to RM4500
  18. Senior Game Developer (1) – Up to RM10500
  19. Xamarin Developer (2) – Up to RM10500
  20. Senior Ruby Developer (1) – Up to RM10500
  21. Scrum Master (1) – Up to RM10500
  22. Project Manager (2) – Up to RM10500
  23. Tech Lead (1) – Up to RM10500
  24. Quality Assurance (1) – Up to RM12000
  25. Database Administrator (1) – Up to RM12000

Job description – http://bit.ly/2rMeTYu

Please fill up this form for those interested (http://bit.ly/2rLWbjS) if you are interested.

#Intellij #Soding

programming fact

programming fact

Image Recognition using Tensorflow

Step 1

Install Tensorflow using PIP, https://www.tensorflow.org/install/.

Step 2

Download bird images from Google image using this chrome extension, https://chrome.google.com/webstore/detail/fatkun-batch-download-ima/nnjjahlikiabnchcpehcpkdeckfgnohf?hl=en. Create 12 folders for all birds inside tf_files > birds. Make sure each bird folder contain at least 60-70 images and same category.

bird folder name

bird folder name

Step 3

Use this command to retrain your custom images

sudo python retrain.py --bottleneck_dir=tf_files/bottlenecks --model_dir=tf_files/inception --output_graph=tf_files/retrained_graph.pb --output_labels=tf_files/retrained_labels.txt --image_dir /tf_files/birds

Step 4

Predict

python detect.py sample.png
prediction

prediction

Reference: https://github.com/datomnurdin/tensorflow-python