Machine Learning Data Engineer Specialist
3 weeks ago
About FIS
FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. Our fintech solutions touch nearly every market, company, and person on the planet.
Job Overview
We're seeking a highly skilled Staff Machine Learning Engineer to join our team and contribute to the development of a brand-new financial technology platform. As a key member of our team, you'll work closely with data scientists, analytics, product, and more to design, build, and deploy machine learning models and applications.
Responsibilities
- Develop and implement ML algorithms to achieve business objectives and product requirements.
- Create prototypes and proof-of-concepts to determine feasibility and drive data-based decisions.
- Analyze and optimize model performance using various metrics and techniques.
- Collaborate with data scientists to develop and test machine learning models.
- Deploy models to production systems and operate them, including monitoring and troubleshooting.
- Design, build, and manage data pipelines and infrastructure to collect, store, and process large volumes of transactional and customer data.
- Develop, deploy, and scale machine learning models and applications in production and lower environments.
Requirements
- A Bachelor's degree in Computer Science or equivalent education and at least 5 years of relevant professional experience.
- Experience leading projects from architectural design to production, setting and maintaining high standards of technical excellence across your team.
- Excellent communication and collaboration skills, with a history of collaborating effectively with your team and cross-functional stakeholders.
- Experience with data management, data pipelines, and build processes.
- Experience with building and deploying machine learning models.
What We Offer
- A competitive salary range of $189,100.00 - $317,690.00 per year.
- Opportunities to innovate in fintech.
- Tools for personal and professional growth.
- Inclusive and diverse work environment.
- Resources to invest in your community.
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