Saturday to Wednesday
-
Health insurance
-Flexible working hours
-Game room
-Resting space
-Occasional packages and gifts
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201 - 500 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing only with Iranian entities
2020
Privately held
Health insurance
توضیحات بیشتر
key Requirements
5 years experience in similar position Sql Server - Advanced
MySql - Advanced
Python - Advanced
Docker - Intermediate
Job Description
Duties
- 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.
- 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.
- 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.
Job Requirements
Gender
Men / Women
Software
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