Data Science Professional

3 days ago


Karachi, Sindh, Pakistan VentureDive Full time

At VentureDive, we're seeking a talented Data Science Professional to join our team.

This role focuses on developing, deploying, and managing machine learning models to solve complex business challenges and create enterprise-grade applications. The ideal candidate will have a strong background in data science and machine learning, with proven hands-on experience in the end-to-end model lifecycle.

About the Role
  • We are looking for an expert who can design, develop, and implement machine learning models across various domains, including data preprocessing, feature engineering, model training, validation, and evaluation.
  • The successful candidate will focus on building robust, scalable, and reliable machine learning applications that can be deployed and maintained in an enterprise environment.
  • They will deploy and manage machine learning models in production environments, utilizing cloud platforms like Microsoft Azure (Azure Machine Learning, Databricks) or AWS (SageMaker, Glue).
Key Responsibilities
  1. End-to-End Model Development: Design, develop, and implement machine learning models across various domains, including data preprocessing, feature engineering, model training, validation, and evaluation.
  2. Enterprise-Grade Applications: Focus on building robust, scalable, and reliable machine learning applications that can be deployed and maintained in an enterprise environment.
  3. Cloud Deployment & Management: Deploy and manage machine learning models in production environments, utilizing cloud platforms like Microsoft Azure (Azure Machine Learning, Databricks) or AWS (SageMaker, Glue).
Required Skills and Qualifications
  • Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum of 4+ years of professional experience in developing, deploying, and managing machine learning models in production environments, with a focus on building scalable applications.
  • Deep understanding of statistical concepts and machine learning algorithms, including their theoretical foundations and practical implementations.
  • Proficiency in Python with proven hands-on experience using libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.


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