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Project Engineer

Confidential

Islamabad, ICT Hybrid permanent

Posted: May 12, 2026

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Quick Summary

Our Project Engineer is responsible for designing and implementing industrial asset management systems, utilizing AI/ML software and drone data to improve asset life, maintenance cost, and reduction of failure risk. The ideal candidate will have expertise in overseeing the development of a 3D digital twin of customer assets, as well as experience with Abyss analytics and drone-based data collection. The successful candidate will be required to have strong analytical and problem-solving skills, as well as a deep understanding of industrial asset management best practices.

Job Description

Our Company:
Abyss Solutions is reinventing industrial asset management both above and underwater for step-change improvement in asset life, maintenance cost, and reduction of failure risk. Think oil rigs, dam walls, ship hulls, any asset subject to deterioration in water and weather.

We do so utilize extremely sophisticated, unique (and patented) Artificial Intelligence/ Machine Learning software together with a deep understanding of our customers’ asset integrity needs and processes. Creating a 3D ‘digital twin’ of customer assets. Using drones and Abyss analytics is just the beginning, Abyss comprehensively classifies the ‘state’ of the asset to identify exactly what maintenance is required, providing precise direction.

Abyss is driving to fully automate the maintenance process, expanding applications and capabilities into other verticals.

About the role:
Abyss is looking for a Project Engineer to support our Oil & Gas projects globally. As a Project Engineer, your focus is on supporting Application Engineers with their customer initiatives and projects. These projects are focused on using Abyss Fabric™ data analytic products to enhance traditional inspection and maintenance programs. The ideal candidate will have a strong engineering background, exceptional communication skills, and a passion for technology. 

What You’ll Do:
Production & Work Pack Execution

Execute production workflows including work pack generation, data analysis, and deliverable preparation

Translate scoped requirements into structured, repeatable outputs

Engineering Validation & Quality Control

Review outputs from automated systems and validate against engineering standards

Ensure all deliverables meet internal quality thresholds before reaching the customer

Data Analysis & Interpretation

Analyze inspection and condition data to support engineering assessments

Identify inconsistencies, gaps, and edge cases that require further review

Operational Support to Application Engineers

Partner closely with Application Engineers to support scoped customer work

Prioritize and manage incoming requests to maintain delivery timelines

Act as the execution layer behind customer-facing activities

Documentation & Standardization

Maintain clear and structured documentation of outputs, methodologies, and assumptions

Contribute to improving repeatability and efficiency of delivery workflows

Throughput & Delivery Management

Manage multiple concurrent deliverables with a focus on timeliness and accuracy

Continuously identify ways to improve speed, quality, and scalability of production work

What This Role Is Not:

Not primarily customer-facing

Not responsible for owning client relationships or selling

Not focused on presentations or stakeholder management

This role is execution-first, enabling others to operate at a higher level.

Qualifications:

Bachelor’s degree in Engineering (Mechanical, Civil, Structural, or similar)

1–5 years of experience in engineering analysis, data processing, or technical delivery

Experience in oil & gas, inspection, or asset integrity is preferred

Core Skills:

Strong attention to detail and quality control mindset

Ability to work through large datasets and structured workflows

Organized, process-driven, and comfortable with repeatable execution

Strong analytical thinking and problem-solving ability

Nice to Have:

Experience supporting client-facing engineering teams

Familiarity with inspection data, corrosion analysis, or condition assessment

Exposure to technical software platforms or digital workflows

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