Job Description:
- Develop predictive and time series models (ARIMA, LSTM, Prophet) for sales forecasting, churn prediction, and predictive maintenance.
- Implement classification and clustering algorithms (Logistic Regression, Random Forest, K-means) with feature engineering for robust insights.
- Manage MLOps pipelines, including A/B testing, drift detection, and model deployment.
- Design and optimize vector and graph databases to enable semantic search and knowledge graph construction.
- Build hybrid search systems combining vector, keyword, and graph-based approaches for efficient information retrieval.
- Collaborate with cross-functional teams to prototype AI solutions and contribute to scalable AI frameworks.
Job Requirement:
- Minimum Diploma in Computer Science, Data Science, Engineering, or a related field.
- At least 1–2 years of experience in Python, R, and machine learning frameworks (TensorFlow, PyTorch).
- Hands-on experience in AI agents and agentic workflows.
- Understanding of ML models, including training, evaluation, and deployment.
- Experience with vector databases and graph databases.
- Knowledge of semantic search and large language models (LLM).
- Familiarity with MLOps practices, including model deployment and monitoring.
- Experience in prompt engineering and AI application development.
- Mandarin Speaker is a priority as will need to liaise with mandarin speaking stakeholders and vendors.
- Strong interest in continuous research and adoption of emerging AI best practices.
For those who have what it takes, please apply online or sent in your profile to
Consultant: Lara
Email: *************
Tel: ************* 228
For more job opportunities, please visit *************
OUR SERVICE FOR JOB SEEKER IS FREE!
Job Types: Full-time, Fresh graduate
Pay: RM5,000.00 - RM7,000.00 per month
Benefits:
- Health insurance
- Opportunities for promotion
- Professional development
Application Question(s):
- Which ML algorithms (ARIMA, LSTM, Random Forest, etc.) have you used in projects? Kindly indicate.
Experience:
- AI Engineer / LLM Engineer : 1 year (Preferred)
Language:
Work Location: In person