AI/ML Engineer

InfoTech Group; Lahore; Vor Ort; PKR 1.800.000 - 3.200.000; Vollzeit

Zusammenfassung

Infotech is seeking an AI/ML Engineer to integrate advanced AI capabilities into our software products. You will design and ship AI-powered features, including agentic AI systems, across on‑premises infrastructure and Microsoft Azure.

You’ll own the ML lifecycle from data prep to deployment and monitoring, collaborating with infra and engineering teams to ensure secure, auditable enterprise-grade solutions.

Qualifikationen

• 4+ years of hands-on experience building and deploying AI/ML systems in production.

Aufgaben

• Design and build AI-powered features that let users interact with product data in natural language, embedded into our existing software products.

Kenntnisse

Python

ML Frameworks

Agentic AI

Azure

On‑premises

Containerization

APIs

Vector Databases

Open‑source LLMs

Communication

Tools

Docker

Kubernetes

Azure Cloud

VectorDB

Git

Jobbeschreibung

About The Role

Infotech is looking for a AI/ML Engineer to build advanced AI capabilities into our existing software products. You'll design and ship AI-powered features, including agentic AI systems, working across both on-premises infrastructure and Microsoft Azure.

Responsibilities

• Design and build AI-powered features that let users interact with product data in natural language, embedded into our existing software products


• Design and deploy agentic AI systems that can plan, use tools, and carry out multi-step tasks within our products


• Take models from prototype to production across both on-premises and Azure environments


• Own the full ML lifecycle: data preparation, model selection/fine-tuning, evaluation, deployment, and monitoring


• Work closely with the infrastructure and engineering teams to integrate AI features into live products


• Build systems that are secure, auditable, and meet enterprise compliance expectations

Requirements

4+ years of hands-on experience building and deploying AI/ML systems in production

Strong Python Skills And Experience With Modern ML/LLM Frameworks

• Practical experience with large language models, including prompting, retrieval augmented generation, fine-tuning, or agentic workflows


• Comfortable working across both on-premises infrastructure and Azure cloud


• Strong communication skills, with the ability to explain technical trade-offs to engineers and business stakeholders alike


• Solid understanding of ML evaluation practices and production monitoring Experience with containerization and orchestration tools for running services across on-prem and cloud environments


• Experience building and maintaining production APIs or services


• Experience with vector databases or retrieval systems


• Familiarity with version control and collaborative engineering practices (code review, testing)


• Exposure to distributed or large-scale compute environments


• Experience working with open-source LLM models

Nice to have

Experience In Fintech Or Other Regulated Industries

• Experience fine-tuning open-weight/open-source models


• Exposure to LLM observability or evaluation practices