Description

What's the Job?

• Develop and implement deep learning models for large-scale recommender systems to enhance customer experience.
• Collaborate with cross-functional teams to design, build, and optimize search and recommendation algorithms.
• Analyze data using SQL, Python, and Spark to generate actionable insights and improve personalization strategies.
• Work with cloud platforms such as Azure or GCP to deploy and manage machine learning solutions.
• Create dashboards, pipelines, and toolkits to support ongoing data science initiatives and operational needs.

What's Needed?

• At least 2+ years of experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Strong skills in SQL, Python, and Spark for data analysis and manipulation.
• Experience working with cloud platforms like Azure or GCP.
• Excellent problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively to diverse audiences

Key Skills

Education

Any Graduate