컴퓨터 공학 등 관련 분야 학사 과정 중이며 2027년 졸업 예정인 학생을 찾아요. 주 4일 현장 출근이 필수이며 최소 6개월간 인턴십 근무가 가능해야 해요. 파이썬과 SQL 활용 능력 및 딥러닝 프레임워크에 대한 이해가 필요해요. 데이터 전처리, 파이프라인 구축, AI 에이전트 개발 업무를 수행해요.
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.
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.
Student / Intern
Shift 1 (Vietnam)
Vietnam, Ho_Chi_Minh_City
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.
N/A
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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