ML Engineer: Scalable Models, Pipelines & Deployment

Translation Empire; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models and drive AI workflow improvements. You will work with diverse datasets, build predictive models, and optimize pipelines in a work-from-office setup.

The role requires 3+ years of ML engineering experience with Python, TensorFlow, scikit-learn, Docker, Kubernetes, and cloud services. Location is DHA 1 Sector F, Rawalpindi/Islamabad area, Pakistan.

Qualifications

• 3+ years of experience in ML engineering.
• Proficiency with Python, TensorFlow and scikit-learn.
• Familiarity with Docker, Kubernetes and cloud services.

Responsibilities

• Design, train, and validate machine learning models.
• Process and clean large datasets for training.
• Automate model pipelines and deployment.
• Monitor and retrain models for performance.
• Collaborate on R&D initiatives.

Skills

ML engineering experience

Python

TensorFlow

scikit-learn

Education

Bachelor’s or Master’s in CS/ML

Tools

Docker

Kubernetes

Cloud services

Job description

Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models and drive AI workflow improvements. You will work with diverse datasets, build predictive models, and optimize pipelines in a work-from-office setup.

The role requires 3+ years of ML engineering experience with Python, TensorFlow, scikit-learn, Docker, Kubernetes, and cloud services. Location is DHA 1 Sector F, Rawalpindi/Islamabad area, Pakistan.