Machine Learning Specialist
Description
Job Description We are seeking a highly skilled Machine Learning Specialist to join our team. In this role, you will assist in developing, testing, and deploying machine learning models under the guidance of senior engineers and data scientists.This is a great opportunity for someone looking to kickstart their career in machine learning and contribute to real-world projects. As a Machine Learning Specialist, you will be responsible for analyzing large and complex data sets to extract meaningful insights and inform data-driven decision-making.Analyze large and complex data sets to extract meaningful insights and inform data-driven decision-making.Develop, train, and deploy predictive models to enhance the capabilities of our AI solutions.Collaborate with cross-functional teams to understand business objectives and translate them into actionable data science tasks.Continuously evaluate and improve existing models based on real-world performance and evolving business needs.Implement and maintain data preprocessing pipelines to ensure the quality and reliability of input data.Required Skills and Qualifications Master's degree or higher in Computer Science, Machine Learning, Engineering, Mathematics, or a related field.Foundational knowledge of machine learning algorithms and principles.Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, Num Py, Tensor Flow or Py Torch).Basic experience with data processing, model training, and evaluation.Understanding of version control tools like Git.Benefits Opportunity to work with cutting-edge AI technologies and apply them to real-world problems.Chance to collaborate with experienced engineers and data scientists.Professional growth and development opportunities.Others We offer a dynamic and collaborative work environment, with opportunities for professional growth and development. If you are passionate about machine learning and want to make a difference, we encourage you to apply for this exciting opportunity.
Posted: 7th July 2025 10.50 am
Application Deadline: N/A
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