ایزی هوش | Ez Hoosh

کامپیوتر، فناوری اطلاعات و اینترنت ۱۱ تا ۵۰ نفر ezhoosh.com/

فرصت‌های شغلی ۲

استخدام Senior Machine Learning Engineer (قزوین-دورکاری)

دسته‌بندی شغلی

وب،‌ برنامه‌نویسی و نرم‌افزار
موقعیت مکانی

قزوین ، قزوین
نوع همکاری

تمام وقت دورکاری
حداقل سابقه کار

سه تا شش سال
حقوق

توافقی

شرح موقعیت شغلی

Senior Machine Learning Engineer

Company: Ezhoosh

Job Description

We are looking for a Senior ML Engineer to design, build, and optimize machine learning models and pipelines powering production systems at Ezhoosh. The ideal candidate brings deep hands-on experience across the ML lifecycle, with particular strength in recommender systems, deep learning, LLM agents, and MLOps practices.

Responsibilities

Design, train, and iterate on ML and deep learning models for recommendation, ranking, and personalization use cases.
Architect and maintain end-to-end ML pipelines.
Set up and optimize scalable data processing and ML workflows.
Build and maintain robust MLOps infrastructure.
Collaborate with data engineers to ensure data quality, build feature stores, and prepare datasets for model training and inference.
Evaluate and benchmark model performance, run offline and online experiments, and drive continuous improvement of model accuracy and efficiency.
Optimize model serving infrastructure for latency, throughput, and cost-effectiveness.
Partner with product and business stakeholders to translate requirements into well-scoped ML solutions.
Document model architecture, assumptions, performance characteristics, and known limitations.
Stay current with advances in recommendation systems, deep learning, and AI services, and propose improvements to existing approaches.

Requirements

4+ years of hands-on experience in machine learning engineering.
Strong proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost, etc.).
Hands-on experience designing, developing, and deploying LLM Agents and AI orchestration systems.
Solid experience with deep learning — architecture design, training, hyperparameter tuning, and deployment of neural network models.
Proven experience designing and deploying recommender systems.
Strong MLOps skills and a solid understanding of the full ML lifecycle.
Hands-on experience with containerization and orchestration in production environments.
Proficiency with SQL and experience working with both structured and unstructured data sources.
Strong problem-solving skills with an emphasis on scalability and performance optimization.

Bonus Points (Plus)

Hands-on experience with AWS SageMaker and the broader AWS ML ecosystem.
Practical experience setting up data processing and ML workflows specifically on AWS.
Experience architecting cloud-based ML infrastructure on AWS.

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معرفی شرکت

شرکت پردازشگران هوش خبره (ایزی هوش) با توجه به سابقه و فعالیت بیش از پنج ساله اعضای آن در مراکز تحقیقاتی و رباتیک دانشگاه آزاد قزوین و همچنین تجربه انجام پروژه های مختلف مخصوصا در زمینه هوش مصنوعی و با هدف به کارگیری این دانش به روز، در صنعت و دیگر کسب و کارها در تاریخ ۱۴۰۱/۹/۱۰ تاسیس و در تاریخ ۱۴۰۱/۱۲/۱۶ تاییدیه دانش بنیانی را از معاونت علمی و فناوری ریاست جمهوری دریافت کرد.