Description

You build and own deep learning models for large-scale recommender systems.

This role is on-site.

Responsibilities

• Develop deep learning models for large-scale recommender systems using TensorFlow or PyTorch.
• Perform data analysis, manipulation, and exploratory data analysis using SQL, Python, and Spark.
• Design experiments, apply statistics, and generate actionable insights from complex datasets.
• Build and maintain toolkits, pipelines, and dashboards with a high degree of independence.
• Collaborate with Data Engineering and MLOps teams to deploy models on Azure or GCP.

Required Skills

• 5+ years of experience in data science or machine learning roles.
• Proven experience building deep learning models for recommender systems.
• Proficiency in Python, SQL, Spark, and ML frameworks (TensorFlow or PyTorch).
• Strong background in statistics, design of experiments, and data analysis.
• Experience working with cloud platforms such as Azure or GCP.
• Bachelor's degree in a relevant technical field.

Preferred Skills

• Experience with Databricks.
• Background in Data Engineering or MLOps.
• Prior experience in the retail or e-commerce industry.

Key Skills

Education

Bachelor's degree