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Selected Work

Power & Energy Careers

A specialist recruitment platform for the global energy transition — Power, Renewables, Oil & Gas, LNG, Nuclear, Data Centres and Energy Infrastructure — combining structured candidate profiles, Boolean plus AI CV search, and explainable match scores.

Specialist job boardAI CV parsingBoolean + AI searchMatch scoringEnergy sector

Applied AI · Specialist Recruitment Platform

System overview
01CV Upload
02AI Parsing & Structuring
03Candidate Profile
04Visibility & Rotation Controls
05Employer Search (Boolean + AI)

3,400+

Active specialist roles

Live roles across operators, EPCs, and majors in the energy sector.

48,200

Energy-sector candidates

Structured specialist CV database searchable via Boolean and AI.

94%

AI match accuracy

Ranked candidate matches with explanations recruiters can defend.

Challenge

The business problem

Energy-sector hiring is fragmented across operators, EPCs, and majors. Candidate CVs are unstructured, recruiter search tools rely on brittle keyword matching, and confidential roles are hard to run at scale. Teams need faster shortlists, better signal, and explainable ranking they can defend to hiring managers.

Approach

How Masuds would solve it

Masuds designed a specialist recruitment platform around structured candidate profiles, AI-assisted CV parsing, Boolean plus natural-language search, and match scores that explain themselves. Employers can search 48,000+ specialist CVs, run confidential postings, and manage applications end-to-end, while candidates upload once and control visibility, rotation preferences, and job alerts.

Solution Architecture

End-to-end system flow

A layered architecture connecting ingestion, intelligence, governance, and delivery.

01

CV Upload

02

AI Parsing & Structuring

03

Candidate Profile

04

Visibility & Rotation Controls

05

Employer Search (Boolean + AI)

06

Match Scoring & Explanations

07

Application Workflow

08

Team Collaboration & Projects

09

Alerts & Notifications

Key Capabilities

Built-in functional pillars

AI CV parsing and structuring

Boolean and natural-language search

Explainable AI match scores

Split-screen CV preview

Saved searches and projects

Team collaboration

Confidential job posting

Anonymous candidate mode

Rotation preferences (28/28, FIFO)

Immediate, daily, or weekly job alerts

Potential Outcomes

Business value & operational gains

Outcome · 01

Faster shortlisting for specialist energy roles.

Outcome · 02

Higher-quality matches through structured profiles and AI ranking.

Outcome · 03

Explainable match scores that recruiters can defend to hiring managers.

Outcome · 04

Confidential postings and team collaboration for enterprise hiring.

Outcome · 05

Better candidate experience with upload-once, controllable visibility.

Outcome · 06

Scalable pipeline for conferences and regional recruitment drives.

Next Step

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