Data Scientist

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 5 years of experience as a Data Scientist. 2-4 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).