Senior Machine Learning Engineer (Agentic Systems)

**Experience:** 5 years \+ **Work Mode:** Hybrid, 3 days/week from office (mandatory) **Base Location:** Islamabad, Lahore **Data Scale:** Terabyte\-scale datasets, across text and image domains **Core Domains:** Text, Image, and Agentic AI **Core Stack:** Python, PyTorch, Agentic AI/LLMs, Docker, Kubernetes Arbisoft is hiring a **Machine Learning Engineer – AI/Agentic Systems** for one of our client projects. Our client is a **globally recognized travel search platform** , used by millions of travelers worldwide to search, compare, and book flights, hotels, and rental cars. The client is investing heavily in **AI\-powered and agentic travel planning experiences** , alongside its core large\-scale search and personalization systems. What You'll Be Doing * **Working with Large\-Scale Data:** We work with very large datasets, often at terabyte scale, across both text and image domains. * **Building Labeled Data:** Many of our problems text, image, and agentic AI start with little or no labeled data. You'll get time and ownership to build/curate labeled datasets using manual labeling, statistical/ML techniques, and LLM\-based approaches. * **Owning the Full Project Lifecycle:** Every team member is responsible for the complete project lifecycle, from R\&D and experimentation to production deployment. * **Solving Open\-Ended Problems:** We work on image, text, and agentic AI problems, so experience solving open\-ended ML/AI problems is important. * **Engineering Data at Scale:** You should be comfortable handling, loading, processing, and parallelizing large\-scale datasets efficiently. **What We're Looking For** * Strong hands\-on experience with **Python and PyTorch** * Demonstrated experience owning ML projects **end\-to\-end** from problem definition to production deployment * Experience working 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 * Familiarity with **LLMs and agentic AI concepts** production experience is a strong plus, but hands\-on experimentation, side projects, or research exposure will also be considered * Working knowledge of **Docker and Kubernetes** for deployment * Ability to independently explore a problem, experiment with different approaches, build the required data pipeline, and take the solution to production **Nice to Have** * Experience with distributed data processing tools (Spark, Ray, Dask) * Open\-source contributions or public technical writing related to ML/LLMs * Prior experience in a product company or applied AI/data\-focused software house serving global clients **What We Value:** Someone who can independently explore a problem, experiment with different approaches, build the required data pipeline, and ultimately take the solution to production.