Data Scientist - NLP/Computer Vision

We are looking for 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.

- Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch.

- Experience working with LLMs and Generative AI models.

- Proven track record of deploying models using cloud platforms - GCP preferred, also open to AWS and Azure.

- 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, retail forecasting, and recommendation systems.

- Knowledge of retail systems such as POS, ERP, CRM, and e-commerce platforms.

- Exposure to Big Data technologies (e.g., Apache Spark).