SENIOR AI ENGINEER – ONSITE _KHI

leading-edge

Karachi Division

On-site

PKR 380,000 - 490,000

Full time

14 days+
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Job summary

leading-edge is hiring a Senior AI Engineer onsite in Karachi near Saddr to design, develop, and deliver end-to-end AI solutions for banking and consulting clients.

The role requires 4+ years of hands-on AI/ML experience, strong Python, and cloud proficiency, with production deployment of AI models and data pipelines.

You will collaborate with business stakeholders, translate requirements into scalable apps, and help maintain robust, live AI systems.

Qualifications

  • 4+ years designing, building and deploying AI/ML solutions.
  • Experience delivering end-to-end AI projects from concept to production.
  • Experience in consulting or banking/financial services preferred.
  • Strong Python proficiency with AI tools and libraries.
  • Experience with cloud platforms AWS/Azure/Google Cloud.

Responsibilities

  • Design, develop and deploy end-to-end AI use cases aligned to business objectives.
  • Collaborate with stakeholders in consulting and banking to scope AI opportunities.
  • Translate requirements into production-ready AI and ML solutions.
  • Build, optimize and maintain ML models and data pipelines.
  • Document processes and present findings to technical and non-technical teams.
  • Keep AI solutions robust and production-ready; monitor industry trends.

Skills

Python
AI tools
ML frameworks
End-to-end delivery
Cloud platforms
Data pipelines
NLP/ML models
Communication skills
Banking/Consulting domain
Production deployment

Job description

NOW HIRING | SENIOR AI ENGINEER - ONSITE KHI

Position Title: Senior AI Engineer

Location: ONSITE Karachi near Saddr

Timings: Bahrain workings days (friday and Sat off) and time (11:am - 7:00pm)

Contract Type: Full-Time Permanent

Budget : under 500k ( depending on skills & qualifications)

Role Overview

Our Client is a forward-thinking organisation based in Bahrain, operating at the intersection of technology and financial services. They are seeking a skilled Senior AI Engineer to design, develop, and deliver end-to-end AI solutions - bringing a strong consultancy or banking background and the ability to translate complex business challenges into scalable, production-ready AI applications.

Key Responsibilities
  • Design, develop, and deploy end-to-end AI use cases that are directly aligned to business objectives and organisational priorities.
  • Engage with business stakeholders across consulting and banking functions to identify, scope, and prioritise AI opportunities with measurable impact.
  • Translate complex operational and business requirements into intelligent, production-ready AI and machine learning solutions.
  • Build, optimise, and maintain machine learning models, data pipelines, and AI-driven applications to the highest technical standards.
  • Ensure all AI solutions are robust, scalable, and suitable for live production environments.
  • Continuously monitor industry developments, emerging AI tools, and evolving best practices within the banking and consulting sectors.
  • Clearly document technical processes, methodologies, and outcomes; present findings to both technical teams and senior non-technical stakeholders.
Required Experience & Skills
  • Minimum 4 years of hands-on experience in designing, building, and deploying AI and machine learning solutions.
  • Demonstrated ability to deliver end-to-end AI projects independently from concept through to full production deployment.
  • Prior experience within consulting and/or banking and financial services is strongly preferred.
  • Strong proficiency in Python with practical experience across leading AI tools, machine learning libraries, and development frameworks.
  • Proven working knowledge of cloud platforms including AWS, Microsoft Azure, or Google Cloud.
  • Solid experience working with large-scale datasets and building predictive or natural language processing models.
  • Exceptional communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Highly self-managed, organised, and dependable in a fully remote working environment.
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