Description

Design and deploy machine learning algorithms and deep learning systems for e-commerce and retail time-series prediction.

This role is remote.

Responsibilities

• Develop and optimize machine learning libraries and frameworks for complex multilayered datasets.
• Identify and mitigate data distribution biases to ensure accurate user recommendations.
• Conduct ML testing, experimentation, and documentation of findings.
• Train, retrain, and monitor ML systems for real-world performance.

Required Skills

• 10+ years of deep experience in Data Science and Machine Learning.
• Strong proficiency in Python and R.
• Experience with AWS, Snowflake, and AI tools including ChatGPT.
• Deep understanding of Scikit-Learn, PyTorch, and TensorFlow.
• Expertise in hyperparameter tuning and building ML systems.
• Knowledge of data structures, data modeling, and software architecture.
• Strong background in probability, statistics, and algorithms.

Preferred Skills

• Specific experience with time-series prediction models in e-commerce or retail.

Key Skills

Education

Bachelor's degree