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/Security Engineer jobs
TH
Thales

AI security Engineer

LocationNoida
Work modeon-site
Typefull-time
SeniorityMid
Experience3–5 yrs
DepartmentCybersecurity
Company size10,000+ people
First seenOct 7, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have14
Computer science engineer with dedicated course in AI
A strong experience in fine-tuning LLM models or applying LLM based code vulnerability scanning (min 1 year full time)
Cybersecurity of AI or Advanced usage of AI for security demonstrated through previous projects
3-5 Years experience
AI networks architecture
Knowledge in implementing AI networks
Linear Algebra
Computer arithmetic
Very good English communication skills
Python
Pytorch
C
Java
Unix commands and scripting
Nice to have7
AI Adversarial attacks
Advanced prompt injection
AI models architecture
Statistics & probabilities
Basic knowledge in cybersecurity
GPU programming
Strong interest in Cybersecurity topics
Skills
Python
Pytorch
C
Java
Unix commands and scripting
GPU programming
LLM
transformer architecture
AI networks
Location: Noida, India
About the company
Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.
Thales is a major key player in Digital Security through the diversity of the security solutions proposed (Smart Cards, cloud security, applications, authentication solutions, data encryption, biometric…). The Cybersecurity team is in charge of assessing and improving the security of Thales CDI products and infrastructures. Providing safe and secure AI solutions is part of the activities of the experts of the Cybersecurity team. One of their roles is developing test methodology and providing implementation protections against cyber attacks on AI.
Responsibilities
You will be in charge to assess the resistance of Thales AI networks against attacks (Adversarial, data poisoning…) and to design and propose innovative solutions to increase the security level of those implementations. For that purpose, you will have to master AI technologies principles, you might have implemented AI solutions and you are sufficiently familiar with AI tools to develop alone projects with Pytorch. A deep knowledge in LLM/transformer architecture and fine-tuning of any other customization methods through a past experience is required. Having a strong interest in Cybersecurity topics is also strongly recommended for the position.
About the role
Based in Noida center, working in close relationship with the others Cyber teams, you will interact with R&D Business Lines and other entities that integrate AI in their products. As the AI security domain id quickly evolving, you will need to be curious and have appetite for research activities.
Education and Experience
•
Computer science engineer with dedicated course in AI
•
A strong experience in fine-tuning LLM models or applying LLM based code vulnerability scanning is required (min 1 year full time on this domain) or a significant expertise in a different AI domain but with a link to CDI activites
•
Cybersecurity of AI or Advanced usage of AI for security must have been demonstrated through previous projects
•
3 - 5 Years experience.
Knowledge/ Skills/Tools
Mandatory Knowledge
•
-AI networks architecture
•
-Knowledge in implementing AI networks
•
-Linear Algebra
•
-Computer arithmetic
•
-very good English communication skills
Recommended Knowledge
•
-AI Adversarial attacks
•
-Advanced prompt injection
•
-AI models architecture
•
-Statistics & probabilities
•
-Basic knowledge in cybersecurity
Mandatory Tools
•
-Python
•
-Pytorch
•
-C
•
-Java
•
-Unix commands and scripting
Recommended Tools
-GPU programming
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
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