Sr. Data Scientist/ Computer Vision/ Machine Learning Expert

1. Job Role
- Experiment and implement computer vision algorithms, machine learning techniques to improving Pixta’s products (object detection, face recognition, GAN image-to-image translation, learning to rank images, tag suggestion, tag ranking…)
- Build the pipeline to manage, process and maintain big data
- Propose, build and optimize the implementation of solutions
- Collaborate with other developers to designing the integration method
- Write documents for projects including business objectives, data gathering and processes, lead approaches, final algorithms, detailed set of results and analytical metrics
- Identify & develop appropriate machine learning/data mining techniques to enable better business outcomes

2. Salary and career advancement
- Salary: 1500$ ~ 2500$ but not limited
- Salary bonus up to 2 months at the end of year, salary review 2 times/year
- Opportunity to show your expertise, propose solutions to improve products by applying new technologies
- Opportunity to work onsite at Japan office and other oversea offices
- Coursera accounts and internal training courses
- Be listened, be valued and be recognized
- Environment: youthful, flexible & fast-growing business that encourages innovation, transparency and idea sharing
Others:
- Lunch allowance, free parking fee in building
- Full insurance, Bao Viet extra health care insurance
- Internal Activities: Code Camp, Code Contest, Company trip (Yearly), Company outing (Quarterly), Clubs (Table tennis, photography, English, Japanese…)
- Annual leave: 12 days
- Facilities: Laptop, screen…

1. Personality requirement
- Change making spirit
- Collaborative spirit
- Dare to do

2. Technical requirement
- Have Bachelor about Applied mathematics, Computer Science, Computer Vision, or Telecommunication Electronics Engineering or other quantitative fields from a reputed university (Ph.D. is a plus)
- Have at least 1 year work experience with Data Science or Computer Vision Engineer
- Have experience in implementing parallel algorithms using GPU, working with Deep Learning frameworks such as Tensorflow/Pytorch/Caffe
- Plus for having experience in working with AWS or GCP
- Possess good English proficiency (especially reading paper / composing slides or documents)

- Good salary, salary increase 2 times/year, end of year bonus
- Coursera account for learning, interesting projects, internal training
- Be valued and recognized with quarterly award from corporate

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