استخدام شرکت افق کوروش

شرکت افق کوروش در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می نماید:

Description

job title

Design, build, and maintain scalable ETL pipelines for billions of retail transactions and customer data.
Manage and optimize a Hadoop/Spark cluster for large-scale data processing.
Implement data ingestion workflows (e.g., Airflow + PySpark + SQL Server) to bring daily transactional data into the data lake (HDFS/Parquet).
Build and maintain customer feature stores (RFM scores, frequency, recency, segmentation).
Develop baseline models (ALS, K-Means) in Spark MLlib and prepare training datasets for deep learning models (PyTorch/TensorFlow on GPU).
Collaborate with ML engineers to integrate deep learning models into the data pipeline.
Ensure data quality, lineage, and governance across all stages.
Automate workflows with Apache Airflow and monitor system health/performance.
Support deployment of results into databases (SQL Server) and API layers (FastAPI).
Experience with Docker/Kubernetes and Linux system administration.
Requirements
Bachelor’s/Master’s degree in Computer Science, Software Engineering, or related fields.
Strong hands-on experience with Apache Spark (PySpark, DataFrame API) and distributed data processing.
Advanced SQL (SQL Server) – schema design, query optimization, large joins.
Solid Python programming skills (pandas, pyarrow, ETL scripting).
Familiarity with big data storage formats (Parquet, Delta Lake) and HDFS.
Experience with workflow orchestration (Apache Airflow).
Understanding of ETL, data modeling, and data warehouses.
Nice to Have (big plus):
Exposure to recommender systems, personalization, or customer analytics.
Familiarity with machine learning pipelines (MLlib, scikit-learn, or PyTorch/TensorFlow).
Knowledge of GPU environments (CUDA, NVIDIA drivers) for deep learning
Previous work with retail or e-commerce data at scale.
What We Offer
Be part of one of the largest recommender system projects in Iran’s retail industry.
Work with cutting-edge big data & AI technologies (Spark, Hadoop, PyTorch, TensorFlow, Airflow).
Access to powerful hardware infrastructure (multi-node CPU clusters + GPU servers).
A dynamic, fast-growing team at the intersection of AI and retail.
Competitive salary, benefits, and career growth opportunities.

Senior Marketing Data Scientist

متقاضیان واجد شرایط می توانند با کلیک روی لینک تکمیل فرم استخدام، رزومه خود را ارسال نمایند.

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