Senior AI/ML Engineer

Archisurance; Lahore; On-site; PKR 16,759,776 - 22,346,368; Full time

Job summary

A leading technology company based in Lahore is seeking a Senior AI/ML Engineer to lead the development of scalable machine learning models and AI systems for enterprise clients. You will work closely with architects and data engineers, optimizing and deploying models while mentoring junior engineers. The ideal candidate has over 5 years of experience in software engineering with strong proficiency in Python and various ML frameworks. This role offers an opportunity to stay at the forefront of AI advancements.

Qualifications

• 5+ years of experience in software engineering focused on ML.
• Strong proficiency in Python and ML frameworks.
• Experience deploying models to production.

Responsibilities

• Design, train, and deploy machine learning models.
• Optimize models for production performance.
• Collaborate with teams to integrate AI capabilities.
• Mentor junior engineers in ML practices.

Skills

Machine learning

Deep learning

Python

Communication skills

Problem-solving

Tools

PyTorch

TensorFlow

Scikit-learn

Docker

Kubernetes

AWS

GCP

Azure

Job description

We are looking for a Senior AI/ML Engineer to lead the development of scalable machine learning models and AI systems for our enterprise clients. You will work closely with architects and data engineers to bring models from research to production.

Key Responsibilities

• Design, train, and deploy state-of-the-art machine learning and deep learning models.
• Optimize models for performance, scalability, and latency in production environments.
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise products.
• Mentor junior engineers and establish best practices for ML development.
• Stay current with the latest advancements in AI, LLMs, and MLOps.

Requirements

• 5+ years of experience in software engineering with a focus on machine learning.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Experience deploying models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Solid understanding of NLP, computer vision, or predictive modeling.
• Excellent problem-solving skills and ability to communicate complex technical concepts.

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