ML Engineer: Build, Train & Deploy Scalable Models

SNSOFT SDN BHD; Kuala Lumpur; On-site; MYR 90,000 - 150,000; Full time

Job summary

SNSOFT SDN BHD in Kuala Lumpur seeks a dedicated ML Engineer to design and implement scalable machine learning models. You will work with data from diverse sources, preprocess it for training, and iteratively train and evaluate models to optimize performance.

The role includes deploying models into production, integrating with existing systems, and monitoring model performance to ensure reliability and continual improvement.

Qualifications

• Proficiency in ML concepts and algorithms.
• Strong data preprocessing and analysis skills.
• Experience in deploying models to production environments.

Responsibilities

• Model Development: Design, build, and maintain scalable machine learning models and algorithms.
• Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.
• Model Training and Evaluation: Train, validate, and tune machine learning models to achieve optimal performance.
• Deployment: Deploy models into production and integrate them with existing systems.
• Monitoring and Maintenance: Monitor model performance in production and update models as needed.

Skills

Machine Learning

Data Analysis

Model Deployment

Python

Tools

TensorFlow

scikit-learn

PyTorch

Job description

SNSOFT SDN BHD in Kuala Lumpur seeks a dedicated ML Engineer to design and implement scalable machine learning models. You will work with data from diverse sources, preprocess it for training, and iteratively train and evaluate models to optimize performance.

The role includes deploying models into production, integrating with existing systems, and monitoring model performance to ensure reliability and continual improvement.