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Machine Learning Data Engineer Specialist
2 months ago
About the Role:
We are seeking a highly skilled Senior Machine Learning Data Engineer to join our team at FIS, Empowering the Financial World. As a key member of our Fraud Intelligence team, you will play a critical role in developing and deploying machine learning models to detect and prevent fraud on a global scale.
Key Responsibilities:
- Design, build, and manage large-scale data pipelines and infrastructure to collect, store, and process transactional and customer data from various sources.
- Develop, deploy, and scale machine learning models and applications in production and lower environments.
- Collaborate with data scientists to develop and test machine learning models.
- Partner with cross-functional teams to bring ideas to life and drive business objectives.
- Ensure data quality, security, and availability for the data, notebooks, models, experiments, and applications.
Requirements:
- At least 3+ years of relevant professional experience in machine learning engineering or a related field.
- Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence.
- Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
- Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
- Experience with data management, data pipelines, and machine learning model deployment.
- Experience with cloud platforms (AWS, Azure, GCP) and version control systems (Git).
Preferred Qualifications:
- Typical qualifications for the role are 7+ years of relevant professional experience or a combination of work experience and advanced education.
- Deep expertise in at least one area of Machine Learning and AI.
- Experience with financial services data sources.
- Experience with MLflow and Feast or other Feature Stores is helpful.
- Proficiency in modern development frameworks and languages (e.g., Java, Python, Go).
- Proven ability to self-direct your technical work and scope projects effectively.
- Experience leading and mentoring junior engineers.
- Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
What We Offer:
At FIS, we offer a competitive salary and benefits package, as well as opportunities for professional growth and development. We are committed to providing our employees with a dynamic and inclusive work environment that fosters innovation and collaboration.
