Senior AI / ML Engineer

AllZone Tech; Lahore; Sur place; PKR 1 800 000 - 3 400 000; Plein temps

Résumé du poste

AllZone Tech is seeking an experienced machine learning engineer to build and deploy production ML/AI systems for enterprise clients in Lahore, Pakistan. You will design, implement, and operate models and agents from development through to infrastructure, ensuring reliability in production environments.

You will work across model engineering, retrieval systems and agent orchestration, building observability and evaluation into AI pipelines while collaborating with product and platform engineers

Qualifications

• Strong Python and applied machine learning experience.
• Experience taking models or AI features into production, not only research or prototypes.
• Clear technical communication with engineers and non-technical stakeholders.

Responsabilités

• Design, build and deploy machine learning and AI systems into production environments.
• Work across model engineering, retrieval systems and agent orchestration.
• Build evaluation and observability into AI systems from the start.
• Collaborate with product and platform engineers on integration and deployment.
• Contribute to architecture decisions on AI-enabled products.

Connaissances

Python

Applied machine learning

Technical communication

Outils

LLM APIs

Retrieval pipelines

Orchestration frameworks

Description du poste

Build and deploy production machine learning and AI systems for enterprise clients, from model and agent work through to the infrastructure that runs it.

• Design, build and deploy machine learning and AI systems into production environments
• Work across model engineering, retrieval systems and agent orchestration
• Build evaluation and observability into AI systems from the start
• Collaborate with product and platform engineers on integration and deployment
• Contribute to architecture decisions on AI-enabled products

REQUIREMENTS

• Strong Python and applied machine learning experience
• Experience taking models or AI features into production, not only research or prototypes
• Familiarity with modern AI tooling: LLM APIs, retrieval pipelines and orchestration frameworks
• Understanding of data pipelines and the infrastructure AI depends on
• Clear technical communication with both engineers and non-technical stakeholders

NICE TO HAVE

• Experience with PyTorch or TensorFlow
• Cloud deployment experience on AWS or Azure
• Exposure to MLOps practices: evaluation, monitoring and model lifecycle

Learn more about our company, software engineering practice, and client case studies:

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