Internship Data

AI Engineer Intern

AI Engineer Intern

We are looking for a passionate and motivated AI Engineer Intern to join our dynamic Data Science team. You will support the development and optimization of AI models, recommendation systems, pricing systems, and training pipelines. You will also work on building and managing data features on our feature store to enable seamless integration with AI applications.

Responsibilities

  • Assist in developing and optimizing recommendation systems (Recosys) to enhance user experience and engagement.
  • Support the development and maintenance of AI models with a focus on performance and efficiency.
  • Collaborate with the team to optimize the pricing system using data-driven approaches.
  • Build and maintain training pipelines to streamline the model training and deployment process.
  • Develop and manage data features on the feature store to ensure data quality and consistency.
  • Conduct experiments and analyze results to validate model performance.
  • Document processes, code, and model performance for future reference.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Basic understanding of machine learning algorithms and model optimization techniques.
  • Experience with data processing frameworks like Pandas, NumPy, and data storage solutions (SQL/NoSQL).
  • Familiarity with building data pipelines and working with feature stores is a plus.
  • Knowledge of recommendation systems and pricing optimization is desirable.
  • Good problem-solving skills and a passion for AI and data-driven solutions.
  • Excellent communication and teamwork abilities.

Benefits

  • Hands-on experience with cutting-edge AI technologies and tools.
  • Mentorship and guidance from experienced AI engineers.
  • Opportunity to work on impactful projects that shape our products and services.
  • A collaborative and innovative work environment.

Thank you for taking your time to read our job description and thank you in advance if you decide to apply for this position. Shortlisted candidates will be contacted within 2 weeks since application, otherwise we might meet when another chance arises.