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.
JOB OBJECTIVE:
- As a member of the AI/GenAI Squad you will actively contribute to the development and deployment of AI and generative AI solutions for Thales employees.
- As a Data Scientist, you will be focusing on creating cutting-edge AI-based products. Primarily centered on Large Language Models (LLMs) technology, the role also incorporates classical machine learning techniques to cater to diverse project requirements. This position requires a blend of technical expertise, leadership skills, and strategic thinking to drive innovation and deliver impactful solutions.
ROLES & RESPONSIBILITIES:
Project Leadership and Team Management:
- Lead a team of data scientists in the design, development, and deployment of AI solutions.
- Mentor team members, fostering a collaborative environment and promoting ongoing professional development.
- Manage project timelines, resources, and stakeholder expectations effectively.
Technical Development and Innovation:
- Hands-on development and implementation of LLMs for various applications, integrating classical machine learning methods as necessary.
- Code-review the pull-requests of team members.
- Design scalable and cost-effective AI architectures that meet business needs and performance targets.
- Stay abreast of industry trends and advancements in AI and machine learning technologies.
Solution Design and Architecture:
- Evaluate and decide on the methodologies and tools for new projects in conjunction with the general AI/GenAI Tech Lead.
- Contribute to guidelines and promote best practices.
- Architect robust, scalable, and efficient systems that integrate seamlessly with existing infrastructure and data ecosystems.
- Ensure the technical feasibility and cost-efficiency of proposed solutions.
- Design with Security concern
Performance and Cost Management:
- Evaluate the performance metrics and cost implications of different AI models and architectures.
- Optimize processes and models for maximum efficiency and effectiveness, balancing cost and computational power.
Stakeholder Engagement:
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Communicate complex data-driven insights and concepts to non-experts, ensuring clarity and actionable outcomes.
- Lead discussions and presentations with stakeholders to showcase findings, progress, and future roadmaps.
QUALIFICATION, CERTIFICATION & EDUCATIONAL REQUIREMENTS:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
- Proven experience as a Data Scientist or in a similar leadership role with a focus on AI and machine learning.Strong programming skills in Python, or other data science-specific languages.
- Experience in designing and deploying LLMs and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical, problem-solving, and organizational skills.
Preferred Skills:
- Experience with cloud services (AWS, Google Cloud, Azure) and understanding of deployment architectures.
- Strong communication and interpersonal skills, with the ability to work in a dynamic and challenging environment.
- Demonstrated ability to lead and inspire a team.
PREFERRED SKILLS:
- Fluency in English, both written and verbal.
- Excellent communication and presentation skills to technical and non-technical people
- Team work and willing to perform trough cooperation.
- Strong attention to details.
- Willingness for change and solving problem.
- Be passionate about digital transformation.
- Strong analytical mindset.
- Data oriented.
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!
