Xebia | Data Scientist | jaipur

4 days ago

jaipur, India Xebia Full time

We are looking for a skilled and motivated Data Scientist to join our dynamic and forward-thinking team. As a Data Scientist, you will play a critical role in solving complex business challenges using data-driven insights and cutting-edge AI/ML techniques. This position requires a deep understanding of data science and machine learning with a strong foundation in Azure cloud technologies, especially Azure Databricks and Azure AI Services. If you have a passion for driving impactful change through data and thrive in collaborative, cross-functional environments, we would love to hear from you.

Key Responsibilities:

  • Design, develop, and implement machine learning models, leveraging both classical machine learning algorithms and generative AI approaches to tackle complex business problems.
  • Work with large and varied datasets, performing data cleaning, preprocessing, and exploratory data analysis (EDA) to uncover trends, correlations, and insights.
  • Utilize Azure cloud services, including Azure Databricks, Azure Machine Learning, and Azure AI Services, to build scalable and efficient data pipelines and AI/ML models.
  • Develop and deploy advanced machine learning solutions, including generative AI models, for diverse business applications such as natural language processing, image generation, and more.
  • Optimize machine learning workflows and data pipelines to ensure high performance, scalability, and efficiency for real-world applications.

Qualifications & Requirements:

  • 2-5 years of hands-on experience in data science, with a proven track record of delivering machine learning models in production environments.
  • Strong proficiency in Python for data science, with experience in relevant libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience with Azure cloud services, specifically Azure Databricks and Azure Machine Learning for machine learning workflows and model deployment.
  • Hands-on experience in building generative AI models for innovative applications.
  • Strong understanding of statistical analysis, data visualization techniques, and feature engineering to derive actionable insights from data.

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