AI / Machine Learning Engineer

DiverseCity; Lahore; Hybrid; PKR 1,800,000 - 3,200,000; Full time

Job summary

DiverseCity in Lahore, Pakistan invites an AI / ML Engineer to join our engineering team to design, train, and deploy machine learning systems—from NLP and speech models to predictive analytics and computer vision.

You will turn research ideas into production‑ready solutions, build data pipelines for training and inference, and optimize models for latency and cost with rigorous evaluation before deployment.

Qualifications

• 2+ years in ML/AI engineering or applied data science.
• Proficient in Python and modern ML frameworks.
• Understanding of embeddings, vector search, and RAG architecture.
• Experience deploying models to production.
• Strong experimental design and evaluation practices.

Responsibilities

• Build and fine-tune ML/NLP models for real client use cases.
• Design retrieval, evaluation, and cost-control layers for AI systems.
• Develop data pipelines for training, inference, and monitoring.
• Establish eval sets and quality benchmarks before deployment.
• Optimize models and infrastructure for latency and cost.

Skills

Python

ML frameworks

Embeddings and vector search

RAG architecture

Model deployment

Tools

Vector search

Retrieval augmented generation

Job description

Technology Development Lahore, Pakistan (On-site / Hybrid) Full-time

AI / Machine Learning Engineer

Join our engineering team to design, train, and deploy machine learning systems - from NLP and speech models to predictive analytics and computer vision. You'll turn research-grade ideas into reliable, evaluated, production-ready systems.

Responsibilities

• Build and fine-tune ML/NLP models for real client use cases
• Design retrieval, evaluation, and cost-control layers for AI systems
• Develop data pipelines for training, inference, and monitoring
• Establish eval sets and quality benchmarks before deployment
• Optimize models and infrastructure for latency and cost

Requirements

• 2+ years in ML/AI engineering or applied data science
• Strong Python and experience with modern ML frameworks
• Understanding of embeddings, vector search, and RAG architecture
• Experience deploying models to production, not just notebooks
• Solid grounding in evaluation and experiment design