Lead AI/ML Engineer

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

Karachi, Pakistan | Posted on 09/01/2026

Oxiliry is a trusted business process outsourcing partner, providing quality resources and delivering scalable, efficient, and innovative solutions to empower businesses globally. Committed to excellence, we streamline operations to drive profitability, foster sustainable growth, and build lasting partnerships for success.

Requirements

Key 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.

Cross-Functional Collaboration

• Work closely with Software Engineers, CMS teams, and Frontend developers for AI feature integration.
• Coordinate with DBA and DevOps teams for data management, cloud deployment, and MLOps practices.
• Collaborate with QA/SQA teams to ensure model validation, monitoring, and reliability.
• Support PMO in technical estimations, sprint planning, and requirement clarifications.
• Design scalable AI system architectures (including microservices or headless AI integrations where applicable).
• Optimize algorithms for speed, accuracy, and resource utilization.
• Implement monitoring systems for model drift, bias detection, and performance tracking.
• Develop reusable AI components and standardized ML workflows.
• Provide technical mentorship to junior AI/ML engineers and data scientists.
• Assist Lead Engineer in reviewing model code, experimentation frameworks, and best practices.
• Contribute to internal AI documentation, research notes, and knowledge repositories.

Qualifications

Must Have

• 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.

Preferred

• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.).
• Knowledge of cloud platforms (AWS, Azure, or GCP) for AI deployment.
• Experience in LLMs, Generative AI, or enterprise AI implementations.
• Exposure to SaaS-based AI solutions.

Join Us

Be part of Oxiliry and contribute to building scalable, efficient, and innovative AI solutions while collaborating with cross-functional teams and advancing AI/ML capabilities.