Description

Develop and deploy deep learning models for large-scale recommender systems to improve customer experience and personalization.

This role is on-site.

Responsibilities

• Design, build, and optimize search and recommendation algorithms using deep learning.
• Analyze large datasets using SQL, Python, and Spark to generate actionable insights.
• Deploy and manage machine learning solutions on cloud platforms such as Azure or GCP.
• Create dashboards, data pipelines, and toolkits to support ongoing data science initiatives.
• Collaborate with cross-functional teams to define and execute data strategies.

Required Skills

• 5+ years of experience in data science or machine learning roles.
• Strong proficiency in Python and SQL for data manipulation and analysis.
• Experience with Spark for large-scale data processing.
• Hands-on experience building deep learning models with TensorFlow or PyTorch.
• Demonstrated experience deploying ML models on Azure or GCP.
• Ability to communicate complex technical concepts to diverse audiences.

Preferred Skills

• Experience with large-scale recommender systems or search algorithms.
• Background in developing internal toolkits or dashboards for data teams.

Key Skills

Education

Any Graduate