Location: Austin, United States of AmericaThales 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.Austin, TX., (US), RemotePosition SummaryThales requires a highly motivated and enthusiastic Engineering Apprentice to join our innovative team focused on Generative AI and Cloud technologies. This is an exciting opportunity to gain practical experience and contribute to cutting-edge projects at the forefront of AI development. You will work alongside experienced engineers, learning and applying skills in areas such as machine learning, deep learning, natural language processing, and cloud computing. This apprenticeship offers a unique chance to develop valuable expertise in a rapidly evolving field while contributing to impactful projects.Key Areas of Responsibility Assist in the development and implementation of generative AI models and algorithms. Support the deployment and scaling of AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure). Contribute to the design and implementation of data pipelines for AI model training and evaluation. Participate in the development of software tools and applications leveraging generative AI. Assist in conducting research and experiments to explore new generative AI techniques and applications. Collaborate with team members to analyze data, troubleshoot issues, and optimize AI models. Learn and apply best practices for software development, testing, and deployment in a cloud environment. Stay up-to-date on the latest advancements in generative AI and cloud technologies.Minimum Qualifications Skills: Basic understanding of programming concepts and algorithms.Familiarity with at least one programming language (e.g., Python, Java).Basic understanding of cloud computing concepts.Strong problem-solving and analytical skills.Excellent communication and teamwork skills. Education: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community!What We OfferThales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following: •Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance.•Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period. •Company paid holidays and Paid Time Off. •Company provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program. Why Join Us?Say HI and learn more about working at Thales click here.#LI-PD1#LI-RemoteThis position will require successfully completing a post-offer background check. Qualified candidates with [a] criminal history will be considered and are not automatically disqualified, consistent with federal law, state law, and local ordinances.Successful applicant must comply with federal contractor vaccine mandate requirements.Thales champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at talentacquisition@us.thalesgroup.com.
