Senior ML Engineer - LLMs, MLOps & Cloud

Randstad; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading recruitment firm is seeking a Senior Machine Learning Engineer to design and deploy production-grade machine learning models. You will build automated pipelines for model training and collaborate with teams to manage data quality for ML workflows. The ideal candidate has a strong background in Python, ML libraries, and deep learning frameworks, with hands-on experience using LLMs and cloud platforms like AWS. A Bachelor’s degree in a related field is required.

Qualifications

• Proficiency in Python and ML libraries (e.g., Scikit-learn, Pandas, XGBoost).
• Strong experience with deep learning frameworks (PyTorch).
• Hands-on experience building with LLMs, including prompting, RAG, and fine-tuning.
• Experience with Hugging Face for sourcing, fine-tuning, and implementing pre-trained models.
• Strong skills in cloud platforms, preferably AWS.

Responsibilities

• Design, train, and deploy production-grade ML models.
• Build robust, automated CI/CD pipelines for model training and evaluation.
• Collaborate to build and manage data pipelines for ML workflows.
• Leverage LLMs and advanced NLP techniques for insights and automation.

Skills

Python

PyTorch

Tensorflow

scikit-learn

Hugging Face

SQL

LLM

ML

MLOps

AWS

Docker

K8

CICD

Image & Text classification

Education

Bachelor’s degree in Computer Science

Job description

A leading recruitment firm is seeking a Senior Machine Learning Engineer to design and deploy production-grade machine learning models. You will build automated pipelines for model training and collaborate with teams to manage data quality for ML workflows. The ideal candidate has a strong background in Python, ML libraries, and deep learning frameworks, with hands-on experience using LLMs and cloud platforms like AWS. A Bachelor’s degree in a related field is required.