Data Scientist
4 days ago
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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