Data Scientist

6 days ago

Bengaluru, Karnataka, India VAYUZ Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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).

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