Fiserv is looking to optimize AI operations and system performance by harnessing advanced analytics and machine learning.
Requirements
- 10+ years of experience in data science, focusing on AI and machine learning applications
- 8+ years of experience in programming with Python, R, or Scala and using data manipulation libraries like Pandas, Numpy
- 7+ years of experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- 6+ years of experience with cloud platforms like AWS or Azure and big data technologies such as Hadoop, Spark
- 5+ years of experience designing and deploying end-to-end machine learning pipelines in production environments
- 4+ years of expertise in natural language processing (NLP) and computer vision techniques
- 3+ years of knowledge in reinforcement learning and its practical applications
Responsibilities
- Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance
- Analyze large datasets to extract actionable insights and support strategic decision-making
- Design and conduct experiments to validate model performance and improve operational processes
- Monitor and maintain AI models in production to ensure effective and efficient operation
- Communicate findings and recommendations to stakeholders through clear visualizations and presentations
- Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions
- Deploy and maintain AI solutions to operate effectively across the organization
Other
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, and/or equivalent military experience
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable)
- This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Maryland, New York, Nevada, Rhode Island or Washington
