Machine Learning Engineer

Translation Empire Ltd; Rawalpindi Cantonment; On-site; PKR 1,800,000 - 3,600,000; Full time

Job summary

A technology company is seeking a Machine Learning Engineer to develop robust and scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows. The ideal candidate will hold a Bachelor’s or Master’s in Computer Science or a related field and possess at least 3 years of ML engineering experience, with skills in Python, TensorFlow, and Docker. The work is office-based in Rawalpindi Cantonment.

Qualifications

• 3+ years of experience in ML engineering.
• Experience with Python, TensorFlow, and scikit-learn.
• ML-related certifications preferred.
• 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 enhancement.
• Collaborate on research and development initiatives.

Skills

Machine Learning

Data Processing

Python

TensorFlow

scikit-learn

Docker

Kubernetes

Education

Bachelor’s or Master’s in Computer Science, ML, or similar

Tools

TensorFlow

Docker

Kubernetes

Job description

Overview

Job Description Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows.

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 enhancement.
• Collaborate on research and development initiatives.

Qualifications

• Bachelor’s or Master’s in Computer Science, ML, or similar.
• 3+ years of experience in ML engineering.
• Experience with Python, TensorFlow, and scikit-learn.
• Familiarity with Docker, Kubernetes, and cloud services.

Certification

ML-related certifications preferred.

Work mode

Work from Office.

Location

DHA 1 Sector F Rwp.

Salary

Market Competitive.