Job Details:
Job Description:
- Data Transformation and Feature Engineering: Clean, join, and transform datasets (structured/unstructured) into highquality features for ML use.
- Pipelines and Automation: Develop and maintain ETL/ELT workflows (e.g., Airflow, Spark) for reproducible and dependable data.
- Model Prototyping: Explore ML approaches (classification, regression, timeseries, anomaly detection; optional: NLP/LLM) using scikitlearn, PyTorch, or TensorFlow.
- Agent AI Development: Assist in designing and implementing AI agents for data processing, decision automation, and conversational interfaces using frameworks like LangChain, CrewAI, or similar.
- Evaluation and Iteration: Define metrics, run experiments, compare baselines, and document tradeoffs; track results with MLflow or equivalent.
- Data Quality and Governance: Implement validation checks, schema enforcement, and lineage tracking to improve trust in data.
- Visualization and Storytelling: Build concise dashboards/notebooks (Power BI, Plotly, matplotlib) and present findings to stakeholders.
Qualifications:
- Currently pursuing a Bachelor's in Computer Science, Data Science, Computer Engineering, or a related field. Graduating Soon: You'll be finishing your degree in 2027.
- Be able to work onsite for 4 days per week.
- Be able to commit to at least a 6-month internship program.
- English Skills: Ability to explain technical ideas clearly in English.
- Coursework or experience in statistics, machine learning, data structures/ algorithms, and database fundamentals.
- Proficiency in Python (pandas, NumPy, scikitlearn) and SQL.
- Familiarity with one deeplearning framework (PyTorch or TensorFlow).
- Basic understanding of ETL/ELT concepts and data modeling (star/snowflake).
- Clear communication; ability to document work and present technical findings.
Job Type:
Student / Intern
Shift:
Shift 1 (Vietnam)
Primary Location:
Vietnam, Ho_Chi_Minh_City
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
Privacy Statement:
Your privacy matters to Intel and we comply with applicable data protection laws. We collect and maintain personal information for recruitment related activities and your data will not be used for any other purpose. We retain personal information for the periods and purposes set forth in Intel Privacy Notice. Retention periods can vary significantly based on the type of information and how it is used. We do not share your personal information with third parties.
In order for Intel to communicate with you on your application results, by submitting your information and proceeding with this application, you agree and consent that we can collect your personal information. You will have the ability to opt-out by informing vietnamjobs@intel.com or at any time selecting unsubscribe found at the bottom of our future marketing communications. You have rights to correct, update, request access to or deletion of your personal information as described in Intel Privacy Notice. In addition, if you wish to update or otherwise make changes to your resume, use Intel online application tool to resubmit a new resume.
*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.