استخدام Machine Learning Engineer
شرح موقعیت شغلی
Alibaba is looking for a Machine Learning Engineer to help us improve and expand our rapidly-growing products.
In Alibaba, we believe we can influence the workplace culture of Iran by promoting Integrity, Authenticity, Commitment to something beyond ourselves and Respectful dialogue, and you can be a part of this building procedure.
In Alibaba, we believe we can influence the workplace culture of Iran by promoting Integrity, Authenticity, Commitment to something beyond ourselves and Respectful dialogue, and you can be a part of this building procedure.
Pros of working in Alibaba
- Don't worry about your income, we update our payments according to the job market
- We pay for your development plans.
- We provide all the gadgets and devices you need for work (Except for Apple Watch!)
- You won't be isolated in your team, we believe anyone in Alibaba can collaborate for the team's winning!
- If there is a Coolest Office Competition, we may win the Gold medal
- You can have breaks in relaxing areas and help yourself to some drinks and fruits
- We believe diversity brings creativity.
- We don't believe in HW (Hard Working!). We believe in HHW (Happily Hard Working!) so we'll have lots of fun alongside the work.
Responsibilities:
- Efficiently extract large scale complex business data (time-series data, structured/unstructured) from various data sources and prepare them for data analytics
- Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
- Work on a variety of software engineering tasks related to development and deployment of algorithms for prediction, classification, forecasting, etc
Qualifications:
- M.Sc. or PhD in computer science or a related field.
- 4+ years of professional experience as a data scientist, machine learning and software engineer.
- Strong skills and experience with developing production-grade software.
- Experience with sequential data modelling, time-series analysis, deep learning, and multi-modal learning algorithms.
- Good understanding of common families of models, feature engineering, feature selection and other practical machine learning issues.
- Able to train and debug deep learning systems: Defining metrics and datasets, performing error analysis, training models in a modern DL framework (such as TensorFlow, PyTorch, Keras, etc.)
- Fluency in a scripting or computing language (e.g. Python, C++, etc.)
- Understands source code control tools (GIT is ideal and what we use)
مهارتهای مورد نیاز
- یادگیری ماشین
- C++
- Python
- Keras
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست