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ePaisa - enabling digital commerce
Point of Sale for Kirana stores, Retailers & businesses of all types and sizes. Inventory, Multi-stores & more.
mobile payments • credit card payment • point of sale • loyalty • bill payment
51 - 200
đź’° $1M Seed Round on 2017-12
Senior Python and Machine Learning Engineer
August 26
JavaScript
jQuery
Keras
Microservices
MongoDB
Node.js
Numpy
Pandas
PHP
Python
PyTorch
Redis
Scikit-Learn
Tensorflow
ePaisa - enabling digital commerce
Point of Sale for Kirana stores, Retailers & businesses of all types and sizes. Inventory, Multi-stores & more.
mobile payments • credit card payment • point of sale • loyalty • bill payment
51 - 200
đź’° $1M Seed Round on 2017-12
Description
• Design and build applications primarily using Python, with proficiency in reporting, Redis, Elastic Search, and data analytics tools • Collaborate with clients and internal teams to understand user needs and propose software solutions • Assess project feasibility within time and budget constraints • Develop clean, readable code and modify existing software to enhance performance • Oversee testing, validation, and installation procedures • Gather and evaluate user feedback to enhance software usability • Design databases tailored to specific application areas • Collaborate with analysts, engineers, and programmers to design systems • Advise clients on software maintenance and continuous improvement • Discover and implement new technologies to optimize development efficiency
Requirements
• Minimum 4 years of backend development experience with Python and Node.js • Proficiency in ExpressJS, Microservices, Websockets, MongoDB, REST API, JQuery, JavaScript, AJAX, CSS, and HTML5 • Proficiency in working with deep learning frameworks such as TensorFlow or PyTorch • Strong problem-solving, interpersonal, organizational, and communication skills • Applied knowledge of design patterns, SOLID principles, CI/CD, and API design • Experience with non-relational and relational databases • Bachelor's degree in Information Technology, Computer Science, or equivalent • Familiarity with data manipulation libraries like NumPy and Pandas • Experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch • Knowledge of data visualization tools and libraries like Matplotlib or Seaborn • Familiarity with broader AI/ML frameworks and platforms like TensorFlow Extended (TFX), scikit-learn, and MLflow
Benefits
• Flexible full-time work schedule • Usage of Timedoctor mandatory for all remote team members
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