Job Description
About Company
Your role & responsibilities
- Research new technologies/algorithms in Machine Learning field.
- Involve in the development of applications based mainly on Python & Microsoft .NET ecosystem.
- Provide solution, technical & analytical support to requirements.
- Do planning for developing tasks, progress reports to project managers, adhere to delivery schedules.
- Be responsible for the security, performance, reliability, stability and high-availability of the systems.
- Other duties and responsibilities will be assigned by direct leader or Management conditionally.
Your skills & qualifications
- Solid background in Maths, Probability & Statistics.
- Comprehensive experience and practical knowledge of Machine Learning related algorithms (Linear Regression, K Mean, EM, LSTM, SVM, Random Forest, k-NN, etc).
- Knowledgeable about Neuron Network & Deep Learning.
- Rich experience in Data Pre-processing, Data Clustering is a plus.
- Hands-on experience with Python.
- Familiar with libraries such as Tensorflow, Scikit-learn, Keras, NumPy, Pandas.
- A passionate interest in new technologies.
- Understanding S.O.L.I.D principles and Clean Code.
- Creative, problem-solving skill, detail/result-oriented, resourceful, and work well under pressure.
- Years of experience: 01 (newly graduated students with good results are also welcomed).
Benefits for you
- Attractive salary plus 13th-month salary
- High bonus and incentive-based on performance, seniority
- Work in a dynamic environment alongside team members who are talented and passionate about what they do
- In-house health club: gym, swimming pool, soccer field, volleyball court, and entertainment area
- Annual health check; Personal Accident & Health Insurance
- Social – Health – Insurance paid fully
- Team building events are fully sponsored by the company
- Complimentary duty meals, snacks & beverages
- Outstanding annual company trip
- Long-term service award
- Quarterly and yearly incentive awards for best-performing employees
- From Monday to Friday