Model Development: Design, build, train, and rigorously test machine learning models (including classical ML and deep learning) to solve specific business challenges.
End-to-End Implementation: Execute all steps of the machine learning pipeline, from initial data exploration and feature engineering through to final model deployment.
Productionization: Work with engineering teams to successfully productionize models, ensuring they are scalable, reliable, and perform efficiently in real-time environments.
Validation and Optimization: Plan and execute rigorous A/B testing and other validation experiments to measure model performance and impact.
Deep Learning Application: Apply and implement solutions using modern deep learning frameworks, with a strong preference for PyTorch.
Technical Analysis: Apply advanced knowledge of statistics and machine learning theory to choose appropriate algorithms, interpret results, and ensure sound experimental design.
Performance Monitoring: Continuously monitor the performance of deployed models, diagnose issues, and implement necessary retraining and improvements.
Requirements
5+ years of professional experience in a Data Scientist or Machine Learning Engineer role with a primary focus on model development.
Demonstrated experience managing the end-to-end machine learning lifecycle in a production setting.
Proven ability to productionize models and validate their business impact using controlled experiments like A/B testing.
Expertise with deep learning frameworks, particularly PyTorch.
Strong knowledge of machine learning algorithms, principles, and best practices.
Solid foundation in statistics, including hypothesis testing, experimental design, and data interpretation.
Strong experience with Python and excellent proficiency in SQL for data extraction and manipulation.
Preferred Competencies
Experience utilizing MLFlow or similar MLOps tools for experiment tracking, model registry, and managing the ML workflow.
Familiarity with Natural Language Processing (NLP) techniques and models is desired.
اسنپشاپ با هدف تسهیل خرید آنلاین و ارائه تجربهای سریع و مطمئن، فعالیت خود را در سال ۱۳۹۸ آغاز کرد. این پلتفرم با ارائه خدمات تحویل سفارشها در انواع مختلف تحویل زیر سه ساعت، تحویل بهصرفه و تجمیعی استانداردی نوین در بازار خردهفروشی آنلاین ایران ایجاد کرده است.
امروز اسنپشاپ بهعنوان یکی از سرویسهای اصلی خانواده اسنپ، در مسیر توسعه پایدار و گسترش خدمات به شهرهای بیشتر قرار دارد. ما متعهدیم کیفیت خدمات خود را همگام با استانداردهای جهانی ارتقا دهیم و ارزشآفرینی مستمر برای مشتریان و جامعه فراهم کنیم.