Data Science Intern
Electronic Arts · Hyderabad · onsite · Posted 6d ago
Undisclosed0–1 yrsinternshipSourced from
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About this role
Job Details
Job Summary
Responsibilities
Qualifications
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
- Locations: Hyderabad
- Role ID: phone_number
- Worker Type: Intern - Temporary Employee
- Studio/Department: CT - Infrastructure Platform
- Work Model: Hybrid
Job Summary
As a Data science intern, you will get hands-on experience of developing custom machine learning models to tackle real-world challenges within EAs games. EA s network of games caters to tens of millions of monthly active users. Youll have the opportunity to build solutions that can scale at real time to handle several thousand requests per second and driving the player engagement of many of the industry s most popular titles. If you like solving complex computing problems, are a passionate team player and thrive in a fast paced, ever changing development environment this is a great opportunity for you.
Location - Hyderabad
Responsibilities
- 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.
Qualifications
- Bachelors/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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualityDesign Patternscloud platformsgoogle cloud platformamazon web servicesengineering leadershipBusiness Requirementsdata preprocessingData StructuresDeploying ModelsEascloudCommunication SkillsAlgorithmsArchitectureMicrosoft AzureData ScienceArtificial Intelligence
About Electronic Arts
Electronic Arts
Gaming
4.0k+
employees
1982
44 years old
Redwood City
United States
₹10.9L PA avg
Avg at Electronic Arts
About
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world.
Industries
GamingInternet
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