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About This Role
- 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.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
669 positions
Job ID
/job/Vietnam-Ho_Chi_Minh_City/AI-Engineer-Intern_JR0286108
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