Machine Learning Engineer — Data Modeling and Housing

PrimeForge Manufacturing; Karachi Division; On-site; PKR 3,414,000 - 4,619,000; Full time

Benefits offered by this job

Accommodation

Job summary

PrimeForge Manufacturing is seeking a Machine Learning Engineer in Karachi, Pakistan. The role focuses on designing, developing and deploying ML models for multiple company projects, leveraging data science techniques to extract patterns and drive decisions.

The ideal candidate has a strong background in ML, Python or R, and experience with TensorFlow or PyTorch. The position offers a full-time on-site role in Karachi with accommodation provided for employees.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science or related field.
• Minimum of 2 years experience as ML Engineer or Data Scientist.
• Strong knowledge of ML algorithms (regression, classification, clustering).
• Proficiency in Python or R for data analysis and modeling.
• Experience with TensorFlow or PyTorch is preferred.
• Excellent communication and teamwork skills.

Responsibilities

• Design and develop machine learning models for projects.
• Gather and analyze data from diverse sources to identify trends.
• Develop preprocessing techniques to prepare data for modeling.
• Collaborate with cross-functional teams to translate needs into ML solutions.
• Monitor and evaluate model performance and adjust to improve accuracy.
• Stay updated with ML advances and implement new techniques as needed.

Skills

ML algorithms

Python/R

Data analysis

Communication

Education

CS/DS degree

Tools

TensorFlow

PyTorch

Job description

PrimeForge Manufacturing is seeking a Machine Learning Engineer in Karachi, Pakistan. The role focuses on designing, developing and deploying ML models for multiple company projects, leveraging data science techniques to extract patterns and drive decisions.

The ideal candidate has a strong background in ML, Python or R, and experience with TensorFlow or PyTorch. The position offers a full-time on-site role in Karachi with accommodation provided for employees.