Senior AI ML Engineer

AllZone Tech; Lahore; On-site; PKR 1,500,000 - 2,000,000; Full time

Job summary

AllZone Tech in Lahore, Pakistan is looking for a Machine Learning Engineer to design and deploy end-to-end ML systems. You will work on optimizing large language models and building computer vision solutions.

The ideal candidate should have over 4 years of experience in ML/AI engineering, along with strong skills in Python and MLOps practices. Collaborative attitude and mentorship of junior engineers are also key components of this role.

Qualifications

• 4+ years of experience in ML/AI engineering with production deployment.
• Strong hands-on experience with large language models, NLP, and computer vision.
• Experience building AI agents and autonomous decision-making systems.

Responsibilities

• Design, develop, and deploy end-to-end ML systems.
• Train and optimize large language models for production.
• Build computer vision solutions like object detection and image recognition.
• Develop AI agents for automated decision-making and task execution.
• Collaborate with cross-functional teams and mentor junior engineers.

Skills

ML/AI engineering

Linguistic model optimization

Computer vision solutions

Python

MLOps practices

Collaborative skills

Tools

TensorFlow

PyTorch

scikit-learn

AWS/Azure/GCP

Docker

Kubernetes

SQL

Job description

Key Responsibilities

• Design, develop, and deploy end-to-end ML systems for production
• Train, fine-tune, and optimize Large Language Models (GPT, LLaMA, BERT, Transformers)
• Build computer vision solutions (object detection, image recognition, video processing)
• Develop AI Agents and autonomous systems for decision‑making and task execution
• Design multi‑agent systems for complex workflows and simulations
• Implement RAG systems and conversational AI/chatbots
• Deploy and monitor models at scale with MLOps practices
• Collaborate with cross‑functional teams and mentor junior engineers

Required Skills

Experience:

• 4+ years in ML/AI engineering with production deployment experience
• Strong hands‑on experience with LLMs, NLP, and Computer Vision
• Experience building AI agents and autonomous decision‑making systems

Technical:

• Languages: Python
• Frameworks: TensorFlow, PyTorch, scikit-learn
• LLM/NLP: GPT, LLaMA, BERT, prompt engineering
• AI Agents: LangChain, LangGraph, AutoGen, agentic workflows
• Computer Vision: Image processing, object detection, GANs
• Cloud: AWS/Azure/GCP
• MLOps: Docker, Kubernetes, MLflow, CI/CD
• Data: SQL, distributed systems