Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location :
Key Responsibilities
- The Methods Engineer will serve as the technical authority on emerging AI algorithms and processes applying their expertise to design adapt and implement advanced AI solutions within our product and service landscape.
- This role requires an expert-level understanding of AI methodologies and practical experience in leveraging them for impactful business outcomes.
- In addition to developing customized AI applications the Methods Engineer will be a resource for internal teams and field specialists supporting client-specific implementations and ensuring AI solutions are aligned with business objectives.
- Algorithm Design and Customization - Develop adapt and optimize AI algorithms to meet the unique needs of client product portfolios.
- Identify and evaluate new and emerging AI algorithms assessing their potential impact and feasibility for real-world applications in insurance.
- Technical Leadership in AI Methods - Serve as the organization s primary expert on AI algorithms providing insights into how cutting-edge AI methods can address specific business challenges and improve product offerings. Lead technical discussions and collaborations with data science engineering and product teams to ensure the successful integration of AI solutions into business processes.
- Client Context and Implementation Support - Act as a resource for field specialists and internal teams by providing technical guidance and support for implementing AI solutions in client-specific contexts. Work closely with cross-functional teams to troubleshoot issues adapt algorithms for specific business needs and ensure successful deployment and scaling of AI solutions.
- Innovation and Continuous Improvement - Stay abreast of the latest advancements in AI and machine learning particularly within the insurance and financial services sectors. Regularly evaluate and refine AI processes to enhance model performance accuracy and efficiency fostering a culture of continuous improvement and innovation.
- Knowledge Sharing and Mentorship: - Provide mentorship to data science and engineering teams sharing expertise on complex AI methodologies and best practices. Develop documentation training materials and internal resources to empower teams with a deeper understanding of AI techniques and their applications.
Want more jobs like this?
Get jobs in Cincinnati, OH delivered to your inbox every week.
Required Skills
- Ph.D. in Artificial Intelligence Machine Learning Data Science or a related field.
- 7+ years of experience in AI algorithm design customization and practical implementation ideally within the insurance or financial services sector.
- Deep expertise in a broad range of AI architectures and techniques including supervised and unsupervised learning reinforcement learning deep learning including GenAI and advanced statistical methods.
- Proven track record in designing and deploying custom AI algorithms to solve business challenges in real-life scenarios.
- Strong communication and collaboration skills to support internal teams and provide clear actionable insights to stakeholders.
- Demonstrated experience in mentoring and knowledge-sharing within technical teams.
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.