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AI Engineer
Siam Makro Public Company Limited. Read, interpret, and replicate academic and applied research papers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing machine learning models, particularly in search and recommendation systems, with a strong focus on Thai-language NLP and backend integration. Proficient in utilizing TensorFlow, PyTorch, and Python for model deployment and fine-tuning in production environments.
Highest-signal resume keywords
Machine Learning EngineeringDeep Learning Model DevelopmentNLP for Thai LanguageTensorFlow or PyTorch ProficiencyBackend Integration with Python
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningNLPPython ProgrammingSQLTensorFlowPyTorchXGBoostCNNsRNNs
Soft Skills
Problem-SolvingAnalytical MindsetCommunication SkillsCollaborative Work
Tools & Technologies
GitAWSDockerFastAPIFlaskNode.jsCI/CD Pipelines
Industry Keywords
Search SystemsRecommendation SystemsModel DeploymentHyperparameter TuningRelevancy Tuning
Tech Stack
Tools & technologiesAWSCloudDockerFlaskJavaScriptKerasNode.jsPythonPyTorchSQLTensorflow
About the role
Key responsibilities & impact- Read, interpret, and replicate academic and applied research papers
- Develop innovative machine learning and deep learning models
- Apply and fine-tune CNNs, RNNs, Transformers, and Siamese networks for search and recommendation systems
- Implement Learning to Rank, Two Towers, XGBoost, reranking, relevancy tuning, and collaborative filtering
- Build and train embeddings for semantic understanding and personalization
- Develop Thai-language NLP models addressing tokenization, fuzziness, and non-space segmentation
- Implement vector similarity, closest word matching, and context-aware text embeddings
- Design, train, and optimize models using TensorFlow or PyTorch
- Utilize GPU infrastructure for large-scale training and fine-tuning
- Conduct hyperparameter tuning and experiment tracking
- Integrate ML models into production through Python and Node.js backends
- Develop and maintain REST APIs for model inference and search functionality
- Debug, fix, and merge backend issues using Git-based workflows
- Deploy and manage ML pipelines in production
- Ensure models are scalable, low-latency, and fault-tolerant
- Collaborate with data engineers and backend developers on integration and monitoring
- Deliver measurable improvements in search relevance and user engagement
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field
- Proven experience as a Machine Learning Engineer, Deep Learning Engineer, or Applied ML Developer
- Prior experience in search, ranking, or recommendation systems highly preferred
- Strong programming proficiency in Python and SQL
- Experience with TensorFlow, PyTorch, or Keras
- Knowledge of CNNs, RNNs, Transformers, Siamese networks, XGBoost, and Learning to Rank
- Familiarity with ML model deployment, GPU training, and backend integration
- Backend experience in FastAPI, Flask, or Node.js
- Ability to handle Thai tokenization, fuzziness, and non-segmented text
- Familiarity with Thai word embeddings and NLP preprocessing
- Experience with Git, AWS or other cloud platforms, Docker, and CI/CD pipelines
- Ability to debug backend systems, fix issues, and merge pull requests
- Strong problem-solving and analytical mindset
- Excellent communication skills and ability to work collaboratively across teams
- Resume, cover letter, and relevant work samples or portfolio required for application
Benefits
Comp & perks- Group health insurance including OPD, IPD, and Emergency OPD
- 3% provident fund
- Variable and performance bonus
- Fitness center, yoga room, and recreational space
- Minimum 18 days annual leave
- No overtime
- Five-day work week
- New MacBook
- Free car parking space
- Diverse workplace
- Non-hierarchical and agile environment
- Growth opportunity and career path