Data Scientist
1 week 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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