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AI Engineer (Data Engineering)

Criterion Asia · Bangkok

📅 07/08/2026
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Responsibilities: Support the design and development of data pipelines for AI and machine learning workflows. Assist in building, training, testing, and evaluating ML models in collaboration with senior engineers. Work with large structured and unstructured datasets, ensuring data quality and readiness. Prepare training datasets and implement data preprocessing/feature engineering techniques. Participate in deploying and monitoring ML models in production environments. Learn and apply MLOps best practices such as model versioning, CI/CD for ML, and automation workflows. Research and experiment with new AI/ML technologies, LLMs, and emerging tools. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or related fields. (Fresh Graduates are strongly encouraged to apply) Basic understanding of machine learning concepts, model training, and data preprocessing. Programming skills in Python and familiarity with ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch). Basic understanding of data engineering concepts: SQL, ETL, data modeling. Strong analytical thinking, problem-solving skills, and willingness to learn. Internship or project experience in AI/ML, data engineering, or related fields. Familiarity with cloud platforms (AWS, GCP, Azure). Knowledge of big data tools (Spark, Hadoop) or workflow tools (Airflow, Prefect). Experience with Git, APIs, Docker, or basic DevOps concepts. Interest in LLMs, generative AI, vector databases, or modern AI stacks. Excellent in English.
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