Webster is looking to develop and train artificial intelligence applications to provide enterprise-wide AI capabilities including process automation business lines.
Requirements
- 5+ years’ experience in programming languages such as Python, Java, and/or C++.
- Knowledge of Data science and advanced analytics, including hands on experience of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
- Familiarity with Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
- Hands on experience with Infrastructure as Code
- Experience working with AWS Bedrock, Sagemaker or other similar platforms
- Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.
- Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.
Responsibilities
- Envision, design, develop and assist with operationalizing end-to-end machine learning (ML) and AI pipeline.
- As part of the development team, assist with the build of a robust application framework and collaborate with data scientists, data engineers, developers, operations and security teams.
- Provide solutions and architecture for key business initiatives and own a portfolio of applications that span across consumer and commercial banking domains.
- Understand and suggest ways to improve efficiencies in the workflow and pipeline architectures of ML and deep learning workloads.
- Discuss the feasibility of AI use cases along with architectural design with stakeholders and translate vision into realistic technical implementation.
- Work closely with security and risk teams to foresee and mitigate risks, such as training data poisoning, AI model drift etc, ensuring ethical AI implementation and improving trust in AI.
- Develop and implement machine learning algorithms to enhance AI capabilities.
Other
- Required: Bachelor’s degree in computer science, Information Technology, or engineering.
- Preferred: A master’s degree
- Required: 6+ years of experience in application design. Development and implementation, with a strong background in banking services.
- 4+ years working with AI/ML-driven solutions for financial services
- Experience in a banking/financial services environment is essential.
