Data Scientist

6 days ago

Bengaluru, India QUARKS TECHNOSOFT PRIVATE LIMITED Full time

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). (ref:hirist.tech)

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