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ML Engineer — Systems Limited careers (Lahore)

AI role · Open offer

ML Engineer — Systems Limited careers (Lahore)

Systems Limited

Full-time
Senior
AI & Analytics
Hybrid
E-1, Gulberg III, Lahore 54660, Pakistan · Hybrid
Lahore, Pakistan
PKR 400k–650k/mo

Employer

Systems Limited

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Posted on Ganloss

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: E-1, Gulberg III, Lahore 54660, Pakistan · Hybrid
Compensation: PKR 400k–650k/mo
Experience level: Senior
Team: AI & Analytics
Benefits & perks: Hybrid Lahore, medical, training allowance.
How to apply: Enterprise ML/RAG delivery for banking or telecom clients.
Company site: www.systemsltd.com
Listed: May 11, 2027

About this role

What the team is looking for and how this position fits.

Systems Limited is hiring a Senior ML Engineer — Systems Limited careers (Lahore) on the AI & Analytics team (Hybrid · Lahore, Pakistan). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Systems Limited is Pakistan's largest IT services firm — Systems Limited careers and Systems Limited jobs in Lahore.

ML Engineer (hybrid Lahore): enterprise RAG, banking/telecom ML, and client delivery.

About Systems Limited

PSX-listed digital transformation leader with Lahore and Islamabad hubs.
Growing AI practice for MENA and European clients.

What you will do

Deliver secure RAG and document AI on client clouds.
Mentor engineers on evals and MLOps checklists.

Stack & environment

Python, LangChain, Azure, Docker.

What we look for

Enterprise ML delivery; eligible to work in Pakistan.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Machine Learning
Practical Machine Learning experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
AzureTool
Regular use of Azure in the LLM & generative AI stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Enterprise ML/RAG delivery for banking or telecom clients.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, SQL, Machine Learning, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Lahore, Pakistan)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: PKR 400k–650k/mo, benefits in At a glance) and your expectations align.

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What the employer asked for

Enterprise ML/RAG delivery for banking or telecom clients.

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