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Electronic Arts Inc. (EA)Via Unstop

Posted today

Data Science Internship

Pay

Stipend (undisclosed)

Location

Hyderabad, India

Hybrid

Type

Internship

Apply by

4 Nov

12 days left

Skills this role screens for

PythonMachine learning conceptsData cleaningScikit-learnAI bias detection

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About the role

Electronic Arts Inc. (EA) is hiring for the role of Data Science Intern!

The work

Responsibilities of the Intern

  • Work with Product Managers, senior engineers and peers to understand requirements, prototype & build large scale distributed applications
  • Develop and implement custom machine learning models
  • Clean, preprocess, and analyze large datasets, ensuring data quality and integrity.
  • Address and manage imbalanced datasets to optimize model performance.
  • Deploy and host machine learning models, ensuring their scalability and reliability in production environments.
  • Monitor and maintain models in production, implementing feedback loops for continuous improvement.
  • Identify and mitigate biases in models to ensure fairness and accuracy.
  • Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
  • Document processes and model performance, providing insights and recommendations.

Who they want

Requirements

  • Bachelor's/master’s degree in computer/software engineering, Computer Science or related concentration, equivalent and/or combination of education.
  • A solid foundation in Computer Science fundamentals, algorithms, design patterns, CI/CD processes, and data structures.
  • Proficiency in Python or R, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of data preprocessing techniques and handling imbalanced datasets.
  • Familiarity with deploying models using cloud platforms (AWS, GCP, or Azure).
  • Knowledge of model evaluation metrics and techniques to identify and reduce bias.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Good understanding of LLM architecture, fine-tuning, and training LLMs.
  • Robust understanding of AI agents.
  • Superb ability to take high level direction, work through ambiguity and drive to execution in an iterative model.
  • Superb ability to translate business requirements into technical design & architecture.
  • Ability to communicate ideas clearly and effectively.

Electronic Arts Inc. (EA)

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Where this listing comes from

From a public listing board (Unstop).

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