Description

• Design and develop machine learning algorithms and deep learning applications and systems.
• Possess deep experience in time series prediction models with E-commerce/retail use cases.
• Solve complex problems using multilayered data sets, including optimizing existing machine learning libraries and frameworks.
• Identify potential biases in data distribution and mitigate their impact on real-world model performance.
• Ensure algorithms generate accurate and effective user recommendations.
• Conduct machine learning testing and experimentation, documenting findings and results.
• Train, retrain, and monitor machine learning systems and models as needed.

Skills and Preferred Qualifications:

• 10+ Years of Deep Experience into Data Science ,Machine Learning Area
• Impeccable analytical and problem-solving skills 
• Strong math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Scikit-Learn PyTorch, TensorFlow
• Experience in time series prediction models with E-commerce/retail use cases.
• Familiarity with data structures, data modeling, and software architecture.
• Deep experience in working with Python, and R, AWS, Snowflake , AI Tools , ChatGPT Etc
• Expertise of building machine learning systems and Hyperparameter tuning
• Bachelor's degree (or equivalent) in computer science, mathematics, or a related field

Key Skills

Education

Bachelor's degree