NextSmarty tuyển dụng Data Science – Machine Learning Engineer

Tác giả: Super Admin

Data Science – Machine Learning Engineer 

NextSmarty is turbocharging ecommerce businesses’ revenue growth with relevant & fast product recommendations. 

We are looking for a talented and motivated Machine Learning Engineer with strong technical skills, a collaborative 

work ethic and teamwork spirit to join the Data Science team. You should be able to work in a demanding 

environment, collaborating closely with other developers and product managers in our projects. 

In this role, you will: 

• Develop, maintain, and deploy underlying personalization algorithms for ecommerce & multimedia consumption 

• Prototype proof-of-concept product features, following guidance from the team leads 

• Run frequent computational experiments and report weekly within technical team(s) 

• Study methods in Information Retrieval, Deep/Representation Learning, Computer Vision, and/or NLP following guidance from the team leads 

Our ideal candidate has: 

• Competence in at least 1 common machine learning frameworks e.g. TensorFlow, PyTorch, XGBoost, Caffe, scikit- learn. Experience with symbolic computing frameworks e.g. Tensorflow, Theano is an advantage 

• Experience in non-trivial academic or commercial projects in either e.g. Recommender systems, Computer Vision, NLP, Speech processing, or Signal Processing 

• Ability to read research papers / technical documents to able to implement/prototype the underlying techniques/methods/models 

• Hands-on experience in deploying products with ML component(s) is an advantage 

• Experience with Python. Knowledge of C++ is an advantage 

• Good software development practice and/or familiarity with collaboration tools (Git, Jira, Confluence) 

To succeed in this role, you will need: 

• University degree in Software Engineering, Computer Science, or equivalent working experience 

Think you're the person for the job? Shoot your resume to giang.truong@nextsmarty.com, we look forward to hearing from you!