AI Engineer

VMO - a proud member of the ALTEN Group, a global leader in engineering and IT services with over 60,000 employees worldwide.
At VMO, we partner with clients across Asia, the Americas, and Europe, delivering software development and digital transformation solutions that drive real impact on businesses and society.
From day one, our vision has been to build more than just a technology company - we aim to create a place where forward thinkers can thrive, innovate, and make a difference. At VMO, local talent connects with global opportunities. We are home to innovators, dreamers, and doers - and we are always looking for passionate people to join us and shape the future together.
About the Role
We are seeking an AI Engineer to develop advanced, AI-driven computer vision systems for real-time defect monitoring in Laser Powder Bed Fusion (L-PBF) additive manufacturing. The role focuses on detecting, classifying, and quantifying microscopic and macroscopic defects during the powder re-coating and laser melting phases to ensure part quality and safety.
You will work at the intersection of machine learning, computer vision, and advanced manufacturing, translating research concepts into deployable, real-time solutions.
Problem Statement
During the L-PBF process, defects such as porosity (holes), hopping/recoil instabilities, powder residue, and streaking can occur and compromise part integrity. The objective of this role is to design and implement an AI-based monitoring system that can:
Detect & Classify defects in real time during powder spreading and laser melting
Quantify Severity of detected flaws and trigger alerts when thresholds are exceeded
Key Responsibilities
Design and develop computer vision and deep learning models for real-time defect detection in L-PBF processes
Research and implement methods to classify defect types (e.g., porosity, hopping, powder residue, streaking)
Develop algorithms to quantify defect severity and confidence levels
Integrate AI models with in-situ sensor data (optical, thermal, high-speed imaging, or melt-pool monitoring systems)
Optimize models for low-latency, real-time inference on edge or industrial systems
Collaborate with manufacturing, materials, and hardware teams to validate models on real production data
Evaluate system performance using statistical and manufacturing-relevant metrics
Document research findings and contribute to patents, publications, or internal technical reports
WHAT WE OFFER
OPPORTUNITIES AND CHALLENGES
Negotiable depending on experience & skills
13th-month salary
Opportunity to work in a professional, modern and energizing setting.
Challenging projects, possibilities, cutting-edge technology, and problems.
An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
Some advanced certifications will cover the full cost of studying and taking the exam.
ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE
Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
Holiday travel mode, team building,...
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
The football club, badminton, ... are just a few of the sports and cultural activities available.
Allowance for classes and training awards: Learning Star of the Month,
A chance to be the face of the year's study, the royalties...
APPLY FOR POSITION
Send your CV to: [protected info] (Ms. Minh Hoa)
Telegram: @minhhoami
Address: IDMC Ton That Thuyet, Cau Giay, Hanoi