Posted on: 26/03/2026
Description :
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 :
- 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
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