Software Engineer II

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?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.

• Experience writing software in Python or similar.
  Experience with data structures, algorithms, and software design.
  Exposure to Data Science including Predictive Modelling.
  Develop Algorithms in multilingual conversational systems.
  Solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
  Proven experience in developing and working with large language models (GPT-3, BERT, T5, etc.) and productionizing them on the cloud.
  Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
  Proficiency in programming languages such as Python, TensorFlow, PyTorch, and related libraries for model development and deployment.
  Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.
  Expertise in pre-processing and cleaning large datasets for training models.
  Familiarity with data augmentation techniques to enhance model performance.
  Knowledge of LLM operations , including evaluating model performance using appropriate metrics and benchmarks.
  Ability to iterate and improve models based on evaluation results.
  Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
  Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.
  Experience with modern AI/ML & NLP Frameworks (e.g. Tensorflow), Dialogue Managers (e.g.Rasa), Search (e.g. Google Bert, GPT-3), Parsers (e.g. Dialogflow).
  Review architecture and provide technical guidance for engineers
  Perform statistical analysis of results and refine models
  Experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.
  Hands on experience with Big Data technologies (Spark, Kafka, Hive, etc.) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc.
  Experience with Visualization Tools like Tableau, Power BI, etc.
  Experience with complex, high volume, multi-dimensional data, as well as ML/AI models for unstructured, structured, and streaming datasets.
  Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks
  Exposure in building cloud-native platforms on modern tech stack:Python, Pydentic, RESTful API, and container-based application.
  Ability to learn new tools and paradigms in data engineering and science
  Proven experience attracting, hiring, retaining, and leading top engineering talent.
  Creative, passionate, and experienced leader of both people and technology
  Team Management savvy (e.g., planning, budgetary control, people management, vendor management, etc.).
  Experience with DevOps, reliability engineering, and platform monitoring
  Well versed in AGILE, DevOps and Program Management methods
  Bachelor's degree with a preference for Computer Science
  We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life.
  • Minimum Qualifications· years of experience with applying Agile methodologies
    ·       Bachelor's degree in computer science, Engineering, Information Systems, or a related STEM field
    · years of experience with Python, microservices, React framework.
    · years of experience with applying Agile methodologies
    · year of experience with public cloud platform (GCP, AWS,  ...) optimization, enabling managed and serverless service. 

Preferred Qualifications

• Bachelor's degree in computer science, Engineering, Information Systems, or a related STEM field
  · years of experience with Python, microservices, React framework.
  · years of experience with Python, microservices, React framework

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.