Senior AI/ML Engineer: Scale & Deploy Production Models

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

Job summary

Oxiliry, Karachi, Pakistan, seeks an experienced AI/ML Engineer to design, develop, and deploy machine learning models for production. You will build data pipelines for training, validation, and inference, and implement NLP, computer vision, predictive analytics, or recommender systems as required.

You will collaborate with Software Engineers, CMS teams, and DevOps for data management, cloud deployment, and MLOps practices, ensuring model validation, monitoring, and reliability.

Qualifications

• Bachelor’s or Master’s in CS, AI, data science or related field.
• 4–6 years hands‑on AI/ML development.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• 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 ML/DL 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 benchmarking.
• Collaborate with Software Engineers, CMS teams, and DevOps for AI feature integration.

Skills

Python

ML frameworks (TensorFlow PyTorch Scik

Data preprocessing & feature eng

REST APIs

Agile methodologies

SDLC processes

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

Cloud platforms (AWS/Azure/GCP)

MLflow Kubeflow SageMaker

Job description

Oxiliry, Karachi, Pakistan, seeks an experienced AI/ML Engineer to design, develop, and deploy machine learning models for production. You will build data pipelines for training, validation, and inference, and implement NLP, computer vision, predictive analytics, or recommender systems as required.

You will collaborate with Software Engineers, CMS teams, and DevOps for data management, cloud deployment, and MLOps practices, ensuring model validation, monitoring, and reliability.