Sr. Machine Learning Engineer (Remote, Contract) [HR216] (PK)

About this opportunity

Job Overview

Smart Working Solutions advertises a Pakistan-eligible, part-time remote contract for a senior machine-learning engineer. The substantive work is production-focused applied AI, model evaluation, deployment pipelines and maintainable software integration.

Job Details at a Glance

• Hiring organisation or authorised recruiter: Smart Working Solutions
• Advertised work location: Pakistan (Remote)
• Importer job type: Remote; consult work-arrangement details below

Key Responsibilities

• Modernise and modularise existing ML, NLP and generative-AI systems for production use.
• Implement Python-based ML services, testing pipelines and repeatable deployment processes.
• Design model quality checks using reference datasets and performance criteria.
• Introduce evaluation, logging, feedback, safe fallback, error handling and provenance mechanisms.
• Build integrations and APIs needed for batch and real-time ML workloads.

Required Education and Experience

• Six or more years of professional AI and machine-learning experience with real production delivery.
• Five or more years of professional MLOps experience and two or more years of applied-AI work.
• Strong Python engineering, Docker and Kubernetes experience.
• Proficiency with model evaluation, robust pipelines, generative AI, retrieval-augmented generation and production observability.

Work Arrangements and Conditions

• The advertisement explicitly lists Pakistan as an eligible remote location and describes the arrangement as part-time and contract.
• Although job_type must be Remote for importer compatibility, the description preserves the part-time contract condition.
• No confirmed salary or closing date is shown in the source.

Location and Applicant Eligibility

The Lever ad lists Pakistan as the location and explicitly states Remote; it also names multiple Pakistan cities as examples.

How to Apply

Use the Apply for this job control on the original employer-authorized Lever advertisement, which leads to the job-specific application form. PakJobsGlobal does not receive applications. No final date is specified in the published advertisement; confirm the application is still accepting submissions.

Official Source and Editorial Note

This is an independent, original summary of the specific published vacancy. Check the linked original notice for updates and complete terms; PakJobsGlobal is not the hiring organisation or recruitment agent.