EA Internship 2025: Electronic Arts is scheduled to hire Software Engineer Intern/Data Science Intern for B.E/B.Tech graduates. Candidates looking for a job in Hyderabad can utilize this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested and eligible candidates can also try >>> IBM Careers
EA Internship 2025 – Details:
EA Internship 2025 for Software Engineer Intern:
| Job Role | Software Engineer Intern |
| Job Category | Internship |
| Qualification | B.E/B.Tech |
| Experience | Freshers |
| Stipend | Best in Industry |
| Job Location | Hyderabad |
| Last Date | ASAP |
Detailed Eligibility:
Software Engineer Intern:
Qualifications
- Candidates must possess a B.E/B.Tech qualifications
- Solid understanding of data structures and algorithms
- Solid programming skills
- Be able to channel curiosity into targeted learning.
- Be able to operate independently and find creative ways to solve challenges
- Experience with using Gen AI tools
Bonus:
- Passion for making and playing games
- Demonstrated proficiency in C++, Java, PHP
- Demonstrated proficiency in 3D Mathematics used in games.
- Demonstrated understanding of RESTful API
- Demonstrated proficiency in AI/ML
Responsibilities
- You will participate in planning and executing new game features.
- You will work with designers and product managers to provide world-class experiences to our players.
- You will improve code for performance, focusing on reducing load times and improving frame rates.
- You will participate in code reviews and retrospectives and improve our code bases and processes.
- You will participate in technical discussions that help us plan our big tech-driven features and roadmap.
- You will write good documentation and follow coding standards.
Our Team
- Our teams are player-focused and motivated to deliver quality.
- We aim to create a collaborative environment where everyone’s perspective is welcomed and encouraged.
- We try to cultivate a “sports team” culture and value authenticity and tight feedback loops.
What this opportunity provides:
- A relaxed, collaborative and supportive working atmosphere.
- Opportunities for professional growth and development.
- A relaxed, collaborative and supportive working atmosphere.
- The ability to work with various Platforms, OS, IDE and tools.
- Regular knowledge sharing sessions with a wide range of talented engineers.
- Career progression and mentoring.
- A unique set of technical challenges to tackle.
How to Apply for EA Internship 2025?
Interested and eligible candidates can apply for this position online as soon as possible by following the link.
For more details & To Apply: Click here
EA Internship 2025 for Data Science Intern:
| Job Role | Data Science Intern |
| Job Category | Internship |
| Qualification | B.E/B.Tech |
| Experience | Freshers |
| Stipend | Best in Industry |
| Job Location | Hyderabad |
| Last Date | ASAP |
Detailed Eligibility:
Data Science Intern:
- The candidate must possess B.E/B.Tech in a relevant field
Must‑Have Skills (Core Hiring Bar):
- Python mastery for data work: pandas, NumPy, scikit‑learn; writing reusable functions/classes; debugging and profiling; packaging basics.
- Strong coding fundamentals: data structures & algorithms, OOP, modular design, unit testing (pytest or similar), version control (Git), and code reviews.
- ML & DS foundations: supervised learning (linear/logistic regression, trees/ensembles), regularization, bias/variance, cross‑validation, feature scaling/encoding, and model evaluation (AUC/ROC, F1, RMSE/MAE, calibration).
- Statistics for data analysis: sampling, hypothesis testing, confidence intervals, distributions; ability to choose appropriate tests and interpret results.
- Solid SQL for data extraction/joins/aggregations and working knowledge of query optimization basics, along with proficiency in Git (GitHub/GitLab workflows, branching, pushing, merging).
- Data wrangling & EDA: handling missing/outliers, joins/pivots, time‑series/tabular transforms, clear visualizations (matplotlib/plotly) and narrative summaries.
- Problem solving & ownership: ability to define the problem, design experiments, deliver incremental value, and document decisions.
- Communication: concise written docs/notebooks and clear verbal explanations tailored to technical/non‑technical partners.
Good‑to‑Have Skills (Differentiators)
- Cloud & data platforms: exposure to Snowflake/BigQuery/Redshift; familiarity with AWS or Azure basics (e.g., S3/Blob, compute, IAM concepts).
- Pipelines & orchestration: experience with Airflow/Prefect or similar; understanding of batch vs. streaming concepts.
- Software craftsmanship extras: Makefiles/poetry/pip-tools, pre‑commit, linters/formatters, logging & observability, simple CLI tools.
- MLOps/productionization: model persistence (joblib/ONNX), reproducibility (seeds/environments), lightweight API serving (FastAPI/Flask), and tracking (MLflow/Weights & Biases).
- Advanced ML: gradient boosting (XGBoost/LightGBM/CatBoost), time‑series forecasting basics, recommendation, Neural Networks and NLP fundamentals.
- Big data: PySpark or Spark SQL for distributed transforms; understanding of partitioning and performance trade‑offs.
- Visualization & storytelling: dashboards in Plotly Dash/Streamlit; crafting stakeholder‑ready summaries.
- Competitive programming/problem-solving practice: experience with LeetCode, CodeChef, or similar platforms to strengthen algorithmic and coding proficiency.
- Other languages: basic R or SQL dialects; familiarity with JVM/C++/Scala is a plus.
What You’ll Do
- Build robust Python modules and notebooks for data ingestion, feature engineering, and model training (primarily with pandas, NumPy, and scikit-learn).
- Author clear, maintainable code using OOP, type hints, docstrings, and unit/integration tests; participate in code reviews and follow Git-based workflows.
- Explore datasets to define problem statements, create hypotheses, and conduct EDA with appropriate visualization and summary statistics.
- Implement and evaluate baseline and advanced ML models; select metrics, design experiments, and apply cross-validation.
- Apply solid SQL to extract/transform data; collaborate on building reliable data pipelines to support analytics and reporting use cases.
- Communicate results with crisp narratives, dashboards/plots, and reproducible notebooks; translate findings into product and business recommendations.
- Contribute to best practices in the team’s development lifecycle (automation, CI, documentation) and proactively suggest improvements.
Role Overview: You’ll join a hands-on, fast-moving team to build data and ML solutions with an emphasis on Python and software craftsmanship. You’ll write clean, well-tested code; wrangle large datasets; engineer features; train/evaluate models; and help move prototypes toward production in collaboration with senior engineers and architects.
How to Apply for EA Internship 2025?
Interested and eligible candidates can apply for this position online as soon as possible by following the link.
For more details & To Apply: Click here
Want Job Alerts? Join Us
