Data Scientist

3 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Role Description: Data Scientist - Machine Learning

We are seeking a highly skilled Data Scientist with expertise in machine learning to join our team. The successful candidate will be responsible for developing and implementing cutting-edge machine learning models to solve complex business challenges.

About the Role

This is an exciting opportunity for a talented Data Scientist to join our team and contribute to scaling cloud-based infrastructure for machine learning projects. Key Responsibilities include:

  • Developing and implementing machine learning models using Python and popular libraries such as PyTorch and TensorFlow.
  • Collaborating with cross-functional teams to understand business requirements and develop innovative solutions.
  • Building and maintaining large-scale data pipelines to support machine learning workflows.
  • Leveraging expertise in data visualization and communication to present insights and recommendations to stakeholders.
  • Staying up-to-date with industry trends and emerging technologies to continuously improve and expand machine learning capabilities.
Requirements

To succeed in this role, you will need:

  • Proficient in Python programming for ML and data science.
  • Expertise in machine learning models, image processing, and computer vision solutions.
  • Hands-on experience with PyTorch, TensorFlow, and Jupyter Notebooks.
  • Familiarity with cloud platforms (preferably GCP) and API development.
  • Strong understanding of ML infrastructure and cloud services.
  • Leadership experience in managing data annotation teams and data labeling efforts.
  • Experience in rule-based systems development.
  • Knowledge of ML model scaling and performance optimization.
  • Familiarity with MLOps and CI/CD pipelines for ML deployment.
Competitive Salary Package

In addition to a competitive salary, we offer a range of benefits and perks designed to support your professional growth and well-being. This includes access to ongoing training and development opportunities, flexible working arrangements, and a collaborative work environment that fosters creativity and innovation.

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