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کد آگهی: KP9061291348

استخدام (Data Scientist (Map

استخدام (Data Scientist (Map - اسنپ | Snapp
اسنپ | Snapp
در تهران
در وبسایت جابینجا  (شنبه 3 تیر 1402)
اطلاعات شغل:
نوع همکاری:  تمام وقت
مدرک تحصیلی مورد نیاز:  کارشناسی
وضعیت نظام وظیفه:  کارت پایان خدمت یا معافیت
مهارت‌های مورد نیاز:
Python
Java
Linux
پرداخت‌ها:  توافقی
متن کامل آگهی:
About Snapp

Snapp is the pioneer provider of ride-hailing mobile solutions in Iran that connects smartphone owners in need of a ride to Snapp drivers who use their private cars offering transportation services. We are ambitious, passionate, engaged, and excited about pushing the boundaries of the transportation industry to new frontiers and being the first choice of each user in Iran.


About the Team

On the surface, Snapp’s ride-hailing technology may seem simple: a user requests a ride from the app, and a driver arrives to take their destination. Behind the scenes, however, a giant infrastructure consisting of hundreds of services and terabytes of data supports each and every trip on the platform. At the heart of this infrastructure, both map data and services enable the most basic features powering our business. In our early days, we used third-party services such as Google Maps, but these services lack the customizations and localizations that our business needs. Furthermore, there are the usual risks of using third-party services outside Iran and their relatively high costs. The Maps Team at Snapp is looking for Software Engineer to join us and help create a set of new services that are customized to our business needs.


About the Role

You will be responsible for the end-to-end development and production of complex models and machine learning pipelines for use cases in the areas of Forecasting, Natural Language Processing (NLP), supervised and unsupervised learning, recommendations, and scoring, and you will be responsible for their constant quality control.


Responsibilities:

  • Design, develop and deploy NLP and predictive models using Machine Learning(ML) techniques.
  • Perform ad-hoc analysis and present results in a clear manner.
  • Ability to manage multiple and competing priorities.
  • Excellent written and verbal communication skills in the English language.
  • Collaborate with team members on analytical use cases and identifying synergies.
  • Work closely with Product Manager and Software Engineers.

Requirements

Mandatory Qualifications:

  • Master’s or Ph.D. degree in Computer Engineering, Computer Science, Electrical Engineering, Statistics, or related science field.
  • Minimum of 2 years of relevant work experience.
  • Experienced with developing Natural Language Understanding (NLU) models, Entity and Intent identification models, and text processing.
  • Knowledge of a variety of Machine Learning techniques and algorithms (Supervised, Unsupervised, etc.) and their real-world advantages/drawbacks.
  • Knowledge and experience with deep learning methods and libraries such as TensorFlow, Keras, and PyTorch.
  • Proficiency in Python language and experience with common data science packages. 
  • Experience with relational (SQL) and non-relational databases(No-SQL).
  • Experience with BigData Computing tools like Apache Spark, Hadoop, etc.
  • Understanding the model build life-cycle, including feature engineering and optimization, model selection and validation, and ongoing model maintenance.
  • Experience with ML Deployment and Management Tools (Docker, Kubernetes, Model Registry and Serving tools, etc.), as well as expertise in developing RESTful APIs.
  • Develop scalable, customer-facing, and reliable solutions based on NLP.

Preferred Qualifications:

  • Knowledge and experience of Recommender Systems
  • Familiarity with the Go programming language
  • Software engineering knowledge like (Object Oriented Programming, Design Patterns, ….) and other programming experience

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هشدار
توجه داشته باشید که دریافت هزینه از کارجو برای استخدام با هر عنوانی غیرقانونی است. در صورت مواجهه با موارد مشکوک،‌ با کلیک بر روی «گزارش مشکل آگهی» به ما در پیگیری تخلفات کمک کنید.
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چهارشنبه 19 اردیبهشت 1403، ساعت 11:25