Calling all innovators – find your future at Fiserv.

We’re 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, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

AI & ML Engineer

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 you'll 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 you'll need to have:

5+ years of experience in Machine learning and data science3+ years of experience in deploying AI solutions in cloud3+ years of experience in advanced analytics and data driven decision makingBachelor's 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 individual's 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 nameComplete 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. 

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

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Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

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