Software Engineer Senior
1 month ago
Position Type: Full-Time
Type of Hire: Experienced (relevant combo of work and education)
Education Desired: Bachelor of Computer Engineering
Travel Percentage: 1 - 5%
Job Description:
We are looking for a compassionate and skilled Machine Learning Data Engineer to join our team in fighting against fraud globally. Your work will protect individuals, businesses, and financial institutions from various types of fraud, including identity theft and money laundering. The ideal candidate will not only have technical expertise but also a passion for solving complex problems and learning new skills. Collaboration with various departments is key as we work together to create top-notch solutions.
Note: This position is located in the greater Seattle/Bellevue, WA area, and we aim to foster a supportive and collaborative work environment.
Responsibilities:
- Design, build, and manage data pipelines and infrastructure for processing large volumes of data.
- Develop, deploy, and scale machine learning models in production environments.
- Ensure data quality, security, and availability for various data sources.
- Collaborate with data scientists to develop and test machine learning models.
- Monitor and optimize machine learning models in production.
- Stay updated on the latest advancements in machine learning and data management.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
- 7+ years of engineering experience, including 5+ years in machine learning.
- Experience with data management, machine learning model deployment, and build pipelines.
- Strong programming skills in Python and Java.
- Excellent problem-solving, communication, and collaboration skills.
- Experience with AWS, Snowflake, Databricks, MLflow, and Feast is beneficial.
What We Offer:
- Opportunities for innovation in fintech.
- Resources for personal and professional growth.
- An inclusive and diverse work environment.
- Resources to support your community.
- Competitive salary and benefits.
FIS is committed to providing equal opportunities for all applicants and employees, regardless of race, color, religion, gender, sexual orientation, disability, veteran status, or other protected characteristics. We value diversity and encourage all qualified individuals to apply.
If you are interested in making a positive impact with us, please visit the FIS careers page for more information.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information. For details on how we handle personal data online, refer to our Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. All qualified applicants are considered for employment without discrimination. For more information, view the EEO is the Law poster.
Recruitment at FIS focuses on direct sourcing. We do not accept resumes from agencies not on our preferred supplier list. For more details, visit our careers page.
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