امکان جدید:
همین حالا رزومه خود را در کمتر از ۱۰ دقیقه بسازید، برو به رزومه‌ساز

Jobinja | جابینجا | استخدام، آگهی استخدام، کاریابی، استخدامی جدید، بازار کار، نیازمندیها، ساخت رزومه رایگان، کار و استخدام دولتی، اشتغال، جستجوگر حرفه ای استخدام و شغل
ورود کارجو ثبت‌نام کارجو
۱

اسنپ | Snapp

تاسیس در ۱۳۹۳ کامپیوتر، فناوری اطلاعات و اینترنت بیش از ۱۰۰۰ نفر snapp.ir

استخدام Machine Learning Engineer(Map)

  • دسته‌بندی شغلی

    وب،‌ برنامه‌نویسی و نرم‌افزار

  • موقعیت مکانی

    تهران ، تهران

  • نوع همکاری

    تمام وقت

  • حداقل سابقه کار

    سه تا شش سال

  • حقوق

    توافقی

شرح موقعیت شغلی

About 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 a Software Engineer to join us and help create a set of new services that are customized to our business needs.


About Role
Map’s software/data/ML engineers are a group of people who directly impact the daily lives of more than a million users in Iran.
As a ML Engineer, you will play a pivotal role in designing, developing, and maintaining robust data pipelines, systems, and applications that drive data-driven decision-making across the organization. You will collaborate closely with cross-functional teams including data scientists, analysts, and software engineers to ensure the availability, accessibility, and integrity of our data assets.


Responsibility:


  • Machine Learning Model Development: Design, develop, and deploy machine learning models that address business challenges and opportunities. This includes data preprocessing, feature engineering, model selection, training, and evaluation.
  • Data Preprocessing: Prepare and clean data for analysis, ensuring data quality, integrity, and consistency. Apply techniques such as data imputation, scaling, and feature extraction.
  • Model Deployment: Deploy machine learning models into production environments, integrating them with existing systems and applications to enable real-time decision-making.
  • Performance Optimization: Continuously monitor and fine-tune machine learning models for optimal performance, scalability, and efficiency. Identify and address model drift and data concept changes.
  • Collaboration: Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to provide actionable solutions.
  • Documentation: Maintain comprehensive documentation of models, code, and processes to ensure knowledge sharing and best practices.
Requirements:

  • Minimum of 3 years of relevant work experience.
  • Knowledge of a variety of Machine Learning techniques and algorithms (Supervised, Unsupervised, etc.) and their real-world advantages/drawbacks.
  • Knowledge and experience of deep learning methods and libraries such as TensorFlow, Keras, and PyTorch.
  • Strong understanding of relational and non-relational databases, data modeling, and database optimization techniques.
  • Good practical knowledge of Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.
  • Expert-level proficiency in Multivariate Time Series Forecasting or Causal Forecasting.
  • Proficiency in Python language and experience with the common data science packages.
  • Experience with relational (SQL) like PostgreSQL and non-relational databases (No-SQL) like Cassandra.
  • 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.
Preferred:

  • Familiar with Map Data
  • Comfortable with an agile, flexible approach to feature development
  • Knowledge and experience of Recommender Systems
  • Have big data-related experience
  • Familiarity with Feature Stores like Feast
  • Familiarity with the design and construction of scalable and resilient model-serving services in machine learning
  • Familiarity with Apache Kafka ecosystem

معرفی شرکت

اسنپ محصولی ایرانی است که از تیمی خلاق، جوان و تحصیل‌کرده قدرت می‌گیرد و در تلاش است تا صنعت فناوری اطلاعات و ارتباطات را به زندگی روزمره جامعه پیوند بزند.
اهداف بزرگی در سر داریم و بلند پروازیم. قصد داریم اسنپ را به بهترین راهکار برای سفرهای درون‌شهری ایران تبدیل کنیم و در این راه به کمک افراد خلاق، سخت‌کوش و بلندپرواز احتیاج داریم. اگر چنین خصوصیاتی دارید خوشحال می‌شویم که رزومه خود را برای‌مان ارسال کنید.

  • مهارت‌های مورد نیاز

    Python یادگیری ماشین Pytorch

  • جنسیت

    مهم نیست

  • وضعیت نظام وظیفه

    مهم‌ نیست

  • حداقل مدرک تحصیلی

    کارشناسی
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