Fiserv is looking to optimize AI operations and system performance by leveraging advanced analytics and machine learning. The goal is to develop data-driven solutions that enhance operational efficiency and decision-making through the deployment and maintenance of effective AI solutions.
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.
- Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
- 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.
Other
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, and/or equivalent military experience.
- 4+ years of experience with ML Ops tools and practices for continuous integration and deployment of machine learning models.
- 3+ years of familiarity with regulatory and compliance considerations for AI and machine learning solutions.
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
