Senior ML Engineer: Agentic AI & Large-Scale Data

Arbisoft; Lahore; Hybrid; PKR 1,800,000 - 2,400,000; Full time

Job summary

Arbisoft is seeking a Machine Learning Engineer - AI/Agentic Systems to work on a globally recognized travel platform. The role focuses on large-scale data (terabytes) across text and image domains, building labeled datasets, and delivering end-to-end ML solutions from R&D to production.

The ideal candidate will have strong Python and PyTorch skills, experience with agentic AI concepts, and a hands-on approach to deploying ML systems.

Qualifications

• Strong hands-on experience with Python and PyTorch.
• Demonstrated experience owning ML projects end-to-end from problem definition to production deployment.
• Experience with large-scale datasets (text and/or image) with strong data engineering fundamentals.
• Exposure to building labeled datasets from limited/no ground truth via manual labeling, statistical/ML techniques, or LLM-based approaches.

Responsibilities

• Work with very large datasets, terabyte-scale, across text and image domains.
• Build and curate labeled datasets using manual labeling, statistical/ML techniques, and LLM-based approaches.
• Own the full project lifecycle from R&D and experimentation to production deployment.
• Solve open-ended ML/AI problems across text, image, and agentic AI domains.
• Engineer data pipelines to load, process, and parallelize large-scale datasets.

Skills

Python

PyTorch

Agentic AI concepts

Open-ended ML problems

Tools

Docker

Kubernetes

Spark

Job description

Arbisoft is seeking a Machine Learning Engineer - AI/Agentic Systems to work on a globally recognized travel platform. The role focuses on large-scale data (terabytes) across text and image domains, building labeled datasets, and delivering end-to-end ML solutions from R&D to production.

The ideal candidate will have strong Python and PyTorch skills, experience with agentic AI concepts, and a hands-on approach to deploying ML systems.