At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

The successful candidate for this role will be responsible for developing and implementing cutting-edge scalable intelligent solutions. You will collaborate with cross-functional teams to design, develop, and deploy highly scalable and fault tolerant services, applications and models that drive innovation and enhance efficiency in customer servicing space. We are seeking a highly skilled and experienced Engineer II with expertise in Python/Java, AI/ML, Cloud & Big data/RDBMS/NoSQL to join our team.

Responsibilities:

Develop and implement AI/ML enabled applications using Java and/or Python and leading industry tools and frameworks.

Stay abreast of industry best practices and emerging trends in Cloud, Java, and Python development.

Collaborate with data scientists and engineers to design and optimize AI/ML solutions.

Cloud Technology Utilization: Leverage cloud platforms like GCP for ML and data engineering solutions.

Analyze datasets to identify patterns, trends, and insights that can be leveraged for AI model development.

Optimize and fine-tune AI models to improve performance, accuracy, and efficiency.

Good knowledge and hands on experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Casandra

Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.

Collaborate with software engineers to integrate AI models into existing servicing applications and ensure scalability and reliability. Conduct code reviews.

Plan, scope, size, architect, design, prototype and engineer contact center  components.

CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes A problem solver, open to learning. Should have experience in troubleshooting, optimizing, solutioning and keeping up with evolving technologies - as a leading member of the team.

Qualifications & Skills:

Degree in Computer Science with 5+ years in experience.

Experience in designing & developing API, services, ETL applications, Micro services-based architecture using frameworks like Spring Boot or Vertx.

Hands-on experience with Kafka.

Good knowledge and hands on experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Casandra.

Proficient in Programming Languages: Java, Vertx & Reactive framework and Python and others.

Proficient in writing clean and efficient code to implement machine learning algorithms.

Deep understanding of various machine learning algorithms such as regression, classification, clustering, and deep learning.

Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes.

Expertise in RESTful APIs: Understanding of RESTful principles and experience in designing and implementing RESTful APIs for microservices communication.

Cloud Knowledge: Proficient in cloud computing technologies.

Banking Data Knowledge: Familiarity with banking data structures and requirements.

Architecture design and modeling: should possess strong skills in designing and modeling complex systems and architectures.

Ability to create scalable, reliable, and efficient solutions that meet business requirements.

Docker and Kubernetes Proficiency: Proficient with containerization and orchestration using Docker and Kubernetes.

Continuous Learning: Commitment to staying updated with industry trends.

Ability to effectively communicate technical concepts to both technical and non-technical audiences.

Should have excellent problem-solving and analytical skills.