AI & ML Engineer

Calling all innovators find your future at Fiserv.

Were Fiserv a global leader in Fintech and payments and we move money and information in a way that moves the world. We connect financial institutions corporations merchants and consumers to one another millions of times a day quickly reliably and securely. Any time you swipe your credit card pay through a mobile app or withdraw money from the bank were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

About your role:

At Fiserv we are committed to revolutionizing financial services technology to enhance the experiences of our clients. As a Software Development Engineer - Professional II you will be instrumental in crafting developing and maintaining cutting-edge Artificial Intelligence software applications. Collaborating with cross-functional teams you will deliver innovative AI-driven solutions that align with our strategic business objectives and address the unique needs of our clients. Your contributions will directly impact the advancement of technology within the financial services landscape.

What youll do:

• Architect design and implement scalable machine learning models and algorithms for real-time data processing and prediction.
• Develop and optimize data ingestion and transformation pipelines using tools like Apache Kafka Airflow and Spark to ensure high-quality feature extraction.
• Collaborate with data scientists and product engineers to transform complex business requirements into technical specifications and machine learning solutions.
• Conduct rigorous experimentation with various machine learning techniques including supervised and unsupervised learning reinforcement learning and ensemble methods utilizing frameworks such as TensorFlow and PyTorch.
• Perform hyperparameter tuning model selection and feature selection to enhance model performance and ensure robustness against overfitting.
• Implement and maintain version control systems (e.g. Git) for code management and documentation to ensure reproducibility and ease of deployment.
• Leverage containerization technologies like Docker and orchestration tools like Kubernetes for deploying machine learning applications in cloud environments.
• Monitor model performance through metrics and logging frameworks diagnosing issues and implementing solutions to improve prediction accuracy and operational efficiency.

Experience youll need to have:

• 5 years of experience in Machine learning and data science
• 3 years of experience in deploying AI solutions in cloud
• 3 years of experience in advanced analytics and data driven decision making
• Bachelors Degree in computer science data science or a related fields.
• Proficient in programming languages such as Python Java or Scala with extensive hands-on experience in machine learning libraries (e.g. TensorFlow Keras Scikit-learn).
• Strong background in machine learning fundamentals specifically linear regression logistic regression support vector machines decision trees and neural networks.
• Demonstrated expertise in SQL and NoSQL databases for data extraction transformation and analysis including the use of tools like PostgreSQL MongoDB or Cassandra.
• Experience with cloud computing platforms (AWS Azure Google Cloud) and their respective machine learning and data processing services (e.g. SageMaker BigQuery).
• Solid understanding of parallel computing and distributed systems principles to efficiently handle large datasets and improve processing speeds.
• Ability to derive insights from data using visualization tools and libraries (e.g. Matplotlib Tableau Seaborn).

Experience that would be great to have:

• Experience in the financial services industry

This role is not eligible to be performed in Colorado California District of Columbia Hawaii Illinois Maryland Minnesota New Jersey New York Nevada Rhode Island or Washington.

It is unlawful to discriminate against a prospective employee due to the individuals status as a veteran.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin gender gender identity sexual orientation age disability protected veteran status or any other category protected by law.

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