Senior AI/ML Engineer — Scalable Production Systems

Oxiliry; Karachi Division; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Oxiliry is seeking an experienced AI/ML engineer in Karachi to design, develop, and deploy scalable ML models for production environments. You will collaborate with software engineers, CMS teams, and DevOps to build data pipelines and integrate AI features into production systems.

Candidates should have 4–6 years of hands-on AI/ML experience, strong Python skills, and proficiency with TensorFlow/PyTorch/Scikit-learn. Familiarity with cloud platforms and MLOps practices is preferred.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• 4–6 years of hands-on experience in AI/ML development.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Experience with data preprocessing, feature engineering, and model optimization techniques.
• Knowledge of REST APIs and integration of ML models into production systems.
• Familiarity with Agile methodologies and SDLC processes.

Responsibilities

• Design, develop, and deploy machine learning and deep learning models for production environments.
• Build and optimize data pipelines for training, validation, and inference.
• Implement NLP, computer vision, predictive analytics, or recommendation systems as required.
• Ensure model scalability, performance, and security.
• Conduct model evaluation, tuning, and performance bench marking.

Skills

Data preprocessing

Feature engineering

Model optimization

Agile methodologies

SDLC

Education

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

Tools

Python

TensorFlow

PyTorch

Scikit-learn

REST APIs

MLflow

Kubeflow

Job description

Oxiliry is seeking an experienced AI/ML engineer in Karachi to design, develop, and deploy scalable ML models for production environments. You will collaborate with software engineers, CMS teams, and DevOps to build data pipelines and integrate AI features into production systems.

Candidates should have 4–6 years of hands-on AI/ML experience, strong Python skills, and proficiency with TensorFlow/PyTorch/Scikit-learn. Familiarity with cloud platforms and MLOps practices is preferred.