Lead AI/ML Engineer

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

About the Group

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

AI/ML Model Development & Deployment

• 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.

Architecture & Optimization

• 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.

Mentorship & Knowledge Sharing

• 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.
• Relevant AI/ML certifications.

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.