Senior Machine Learning Engineer (NLP & MLOps)

EPS Malaysia; Petaling Jaya; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading tech company in Malaysia is seeking a Senior Machine Learning Engineer specializing in NLP and MLOps. The role involves designing, developing, and deploying machine learning models to address business challenges. Candidates should possess expertise in data science, strong programming skills, and familiarity with multiple ML frameworks. The position offers a competitive salary of RM 15,000 – 18,000 and requires a Bachelor's or Master's degree in a relevant field. This is a fantastic opportunity for talented individuals looking to make an impact in machine learning.

Qualifications

• Bachelor’s or Master’s degree in relevant field.
• Strong proficiency in Python (or R) and ML libraries.
• Solid understanding of algorithms, statistics, and data structures.

Responsibilities

• Design and implement ML algorithms for predictive analytics.
• Preprocess and analyze large datasets.
• Build and evaluate models using frameworks like TensorFlow.
• Deploy models into production and monitor performance.
• Collaborate with engineers to integrate ML solutions.

Skills

Python

Machine Learning

Statistics

Data Structures

Problem-solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Docker

Kubernetes

Job description

Position Title

Senior Machine Learning Engineer (NLP & MLOps)

Salary

RM 15,000 – 18,000

Contract Duration

months (subject to renewal based on performance)

Role Overview

We are seeking a highly skilled Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business problems. The ideal candidate will have strong expertise in data science, programming, and model optimization.

Key Responsibilities

• Design and implement machine learning algorithms for predictive analytics and automation.
• Preprocess and analyze large datasets to extract meaningful insights.
• Build, train, and evaluate models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Deploy models into production environments and monitor performance.
• Collaborate with data engineers and software developers to integrate ML solutions into applications.
• Stay updated with the latest advancements in AI/ML technologies and tools.
• Build ML models to validate issue resolution tagging.
• Compare transcription of issue raised vs closure remark vs actual root cause.
• Provide % accuracy of correctly tagged resolutions.
• Experience in data ingestion, transformation, and orchestration.
• Understanding of data pipelines and governance.
• Ability to prepare large datasets for BI and ML consumption.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• Strong proficiency in Python (or R), and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of algorithms, statistics, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with NLP, computer vision, or deep learning.
• Familiarity with MLOps tools and practices.
• Prior experience in deploying ML models at scale.

Application Questions

• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years' experience do you have as a Machine Learning Engineer?
• Have you worked in a role which requires experience with machine learning?
• How many years' experience do you have as a Data Processing Specialist?
• How many years' experience do you have as a Cloud Engineer?