Location: SINGAPORE, Singapore
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.
Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.
Thales Singapore Engineering Competence Centre (ECC) is a well-established R&D and engineering centre serving major customers worldwide in Digital Identity and Security domains ranging from mobile connectivity, IoT, banking & payment to government solutions.
Objective:
- Explore open-source Generative AI stacks to build tools and functions for operational efficiency and enhanced customer engagement.
Responsibilities:
- Conduct research and development in open-source Generative AI frameworks, including Hugging Face, Ollama, LangChain, LangGraph – build sample PoC to inspire new ideas.
- Develop and refine tools/functions that align with specific business unit use cases.
- Explore and apply fine-tuning techniques to customize models for specific domain tasks, optimising their performance and relevance.
- Collaborate closely with the supervisor, gaining insights into AI’s role in real-world business applications.
Requirements:
- Education: Computer Science student with a good foundation in Data Science.
- Technical Skills:
- Proficiency in Python, Docker Compose, and basic Linux commands.
- Familiarity with open-source frameworks and tools, including GitHub.
- Traits:
- Independent and analytical thinker.
- Open-minded, with a proactive approach to problem-solving
- Commitment: Able to commit on a full-time basis, for ideally 6 months (or a minimum of 5 months) from May/June 2025 onwards
Learning Outcomes:
- Hands-on experience in latest GenAI research and practical applications.
- Opportunity to work on high-impact projects directly supporting business objectives.
- Mentorship and guidance from industrial supervisor, with a focus on professional development in GenAI.
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
