Description
We are looking for a passionate and skilled Data Scientists to join our team and lead the development of cutting-edge Artificial Intelligence solutions tailored for the Retail industry. The ideal candidate will have hands-on experience building and deploying AI models that enhance customer experience, optimize operations, and drive data-driven decision-making in retail environments.
Key Responsibilities
- Design, develop, and implement AI/ML models for retail use cases such as dynamic pricing, dynamic routing, inventory management, personalized recommendations.
- Build scalable AI pipelines and integrate models into production systems using cloud and edge technologies.
- Collaborate with data scientists, software engineers, and business stakeholders to translate business needs into technical solutions.
- Work on computer vision (e.g., shelf analytics, visual search) and NLP (e.g., chatbots, sentiment analysis) projects relevant to retail.
- Optimize model performance and ensure robustness, scalability, and maintainability.
- Conduct research and stay updated on the latest AI trends, tools, and frameworks applicable to the retail domain.
- Ensure ethical AI practices and compliance with data privacy regulations.
Required Skills
- 2 to 4 years of experience in AI engineering, with a focus on retail applications.
- Strong programming skills in Python and SQL.
- Experience with ML/DL frameworks such as TensorFlow, PyTorch.
- Experience with LLM and GenAI models.
- Proficiency in deploying models using cloud platforms (GCP ,AWS, Azure), GCP preferred.
- Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, CI/CD).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with customer analytics, and retail forecasting, recommendation systems.
- Knowledge of retail systems such as POS, ERP, CRM, and e-commerce platforms.
- Exposure to big data technologies (Spark).
(ref:hirist.tech)
