About the Client

A leading specialty e-retailer offering consumer products, travel, and online education services through flexible, hassle-free payment plans.

Role and Responsibilities

• Design, build, and deploy machine learning and AI models to solve business problems
• Work closely with business stakeholders, architects, and engineering teams on data-driven initiatives
• Develop scalable predictive models and generate actionable insights
• Implement and maintain ML pipelines (CI/CD) in an AWS environment
• Apply statistical analysis, deep learning, and GenAI techniques for advanced use cases
• Translate business requirements into AI/ML solutions and support decision-making
• Ensure proper documentation, version control, and best practices in data science workflows

Requirements

Technical:

• 3–5 years of experience in Data Science
• Strong proficiency in Python, SQL (R/Shell scripting is a plus)
• Experience with AWS and cloud-based data pipelines
• Hands-on with ML algorithms (regression, classification, clustering, forecasting)
• Experience with TensorFlow/PyTorch and data visualization tools (Matplotlib/Seaborn)
• Knowledge of GenAI and Agentic AI workflows
• Familiarity with GitHub, JIRA, and Agile methodologies
• Experience in eCommerce/Retail or Fintech preferred

If you are interested in this opportunity, please share your updated CV along with your details at pearlin.hannah@antal.com