Senior AI/ML Engineer

InfoTech Group; Lahore; On-site; PKR 1,800,000 - 4,200,000; Full time

Job summary

InfoTech Group is seeking a Senior AI/ML Engineer to enhance our software with AI-powered capabilities. You will design and ship agentic AI features, working across on-premises infrastructure and Microsoft Azure to deliver production-ready solutions.

Responsibilities include end-to-end ML lifecycle, collaboration with infrastructure and engineering teams, and ensuring secure, auditable deployments in enterprise environments.

Qualifications

• 4+ years of hands-on experience building and deploying AI/ML systems in production.
• Strong Python skills and experience with modern ML/LLM frameworks.
• Experience with large language models and agentic workflows.
• Comfortable working across on-premises infrastructure and Azure cloud.

Responsibilities

• Design and build AI-powered features that let users interact with product data in natural language.
• Design and deploy agentic AI systems that can plan, use tools, and perform multi-step tasks.
• Take models from prototype to production across on-prem and Azure environments.
• Own the full ML lifecycle: data prep, model selection, evaluation, deployment, monitoring.
• Collaborate with infra and engineering teams to integrate AI features into live products.
• Build secure, auditable systems meeting enterprise compliance.

Skills

Python

ML Frameworks

LLMs / Prompting

Azure Cloud

Tools

Docker

Kubernetes

Git

Vector Databases

Job description

About The Role

Infotech is looking for a Senior 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.

About The Role

Infotech is looking for a Senior 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