Ai/Ml Engineer

Job Description
Position Type :

Full time Type Of Hire :

Experienced (relevant combo of work and education) Education Desired :

Bachelor of Computer Engineering Travel Percentage :

5 - 10%
Job Description
As an AI/ML Engineer in the AI and Innovation Team within the Office of the Chief Technology Officer (OCTO), you will play a pivotal role in advancing the company's generative AI capabilities. This position involves contributing to the development of a sandbox environment for experimentation, building and programming AI solutions using large language models (LLMs), and actively participating in the creation of impactful use cases. The AI/ML Engineer will work under the guidance of the Senior Director, collaborating with cross-functional teams to integrate AI solutions across the organization.
Key Responsibilities:
- AI Solutions Development:
- Assist in developing and maintaining scalable and secure AI solutions within a sandbox environment.
- Contribute to the programming and refinement of AI applications using LLMs and other AI technologies.
- Use Case Implementation:
- Collaborate in building and documenting sample use cases that demonstrate the practical applications and benefits of generative AI within the company.
- Collaborative Teamwork:
- Work closely with a diverse team of developers and QA specialists to foster a culture of innovation and continuous improvement.
- Engage with internal teams to identify and implement AI-driven enhancements in existing workflows.
- Quality Assurance:
- Participate in the rigorous testing and validation of AI models and solutions to ensure high standards of quality and performance are met.
- Continuous Learning and Improvement:
- Stay updated with the latest industry trends and advancements in AI technology.
- Implement feedback and contribute to continuous improvement processes to refine AI methodologies.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Minimum of 2-4 years of experience in AI/ML development.
- Demonstrated proficiency in AI/ML programming languages and frameworks (e.G., Python, TensorFlow, PyTorch).
- Familiarity with developing and maintaining applications within cloud environments.
- Strong analytical and problem-solving skills, with a proven ability to contribute to complex projects.
- Excellent communication skills, capable of collaborating effectively across diverse teams.
Preferred Skills:
- Experience working in highly regulated industries such as payments
- Familiarity with agile development methodologies and best practices
- Experience in sandbox environment development for AI experimentation
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technology projects within a leading company in the payments sector.
- A dynamic work environment where innovation and continuous improvement are at the forefront.
- Professional growth opportunities in a supportive and collaborative team.
How to Apply:
Please submit your resume and a cover letter outlining your specific qualifications and interest in the role. Join us at Worldpay where your expertise in AI/ML engineering will help shape the future of technological innovation in our company.
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EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer:
In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model;
a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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