Machine Learning Engineer
Summary
Machine Learning Engineer (on-site, Bangsar South, Kuala Lumpur) who designs, trains, deploys, and monitors scalable ML models, including NLP/LLM work, using Python/Golang/Java, TensorFlow or PyTorch, and big data tools like SQL, Spark, and Hadoop. Salary RM 8,000–12,000 per month.
Salary: RM 8,000 – RM 12,000 per month
Key responsibilities
Design, develop, and maintain scalable machine learning models and algorithms
Analyze, clean, and preprocess structured and unstructured data for model training
Train, validate, fine-tune, and optimize ML models for high performance and accuracy
Deploy machine learning models into production environments and integrate them with existing systems
Monitor model performance and continuously improve models to ensure reliability and scalability
Collaborate closely with cross-functional teams including Data Scientists, Software Engineers, and Product Managers
Research and implement the latest advancements in AI, Machine Learning, NLP, and Large Language Models (LLMs)
About you
Bachelor's Degree in Computer Science, Data Science, AI, Machine Learning, or related field
Strong programming skills in Python, Golang, or Java
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, JAX, scikit-learn, or equivalent
Experience with big data and data processing tools such as SQL, Spark, Hadoop, etc.
Proficient in data analysis and visualization libraries including NumPy, Pandas, and Matplotlib
Familiarity with NLP concepts, transformers, attention mechanisms, and Large Language Models (LLMs)