AI/ML Engineer

Glimstech; Bahawalpur Division; On-site; PKR 2,000,000 - 4,500,000; Full time

Job summary

Glimstech in Pakistan seeks a Production ML Engineer to design, deploy, and optimize ML models and data pipelines for real-world enterprise projects.

You will collaborate with DevOps and product teams, apply state‑of‑the‑art AI techniques, ensure reproducibility, and maintain scalable deployments while adhering to security and privacy standards.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS/Azure/GCP) and DevOps practices.
• Strong algorithms, statistics, and data structures knowledge.
• Hands-on experience with NLP, computer vision, or predictive analytics.
• Familiarity with MLOps tools (Docker, Kubernetes, CI/CD).

Responsibilities

• Design, develop, and deploy machine learning models for real-world applications.
• Build and optimize data pipelines for training and inference.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Conduct data preprocessing, feature engineering, and model evaluation.
• Monitor model performance and implement continuous improvement strategies.
• Research and apply state-of-the-art AI/ML techniques to solve business problems.
• Document processes, maintain reproducibility, and ensure scalable deployment.
• Ensure compliance with security, privacy, and ethical AI standards.

Skills

Python

ML frameworks

Collaboration

Problem solving

Communication

Education

Bachelor's/MSc in CS/DS/AI/ML

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Job description

Design and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients.

Responsibilities

• Design, develop, and deploy machine learning models for real-world applications.
• Build and optimize data pipelines for training and inference.
• Collaborate with cross-functional teams (DevOps, product, design) to integrate AI solutions into production systems.
• Conduct data preprocessing, feature engineering, and model evaluation.
• Monitor model performance and implement continuous improvement strategies.
• Research and apply state-of-the-art AI/ML techniques to solve business problems.
• Document processes, maintain reproducibility, and ensure scalable deployment.
• Ensure compliance with security, privacy, and ethical AI standards.

Requirement

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and DevOps practices.
• Solid understanding of algorithms, statistics, and data structures.
• Hands‑on experience with NLP, computer vision, or predictive analytics.
• Familiarity with MLOps tools (Docker, Kubernetes, CI/CD pipelines).
• Strong problem‑solving skills and ability to work in collaborative teams.
• Excellent communication skills to explain complex AI concepts to non‑technical stakeholders.