Job Details
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you鈥檒l learn and grow as we help you create a career journey that鈥檚 unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you鈥檒l be recognized for your contributions, leadership, and impact鈥攅very colleague has the opportunity to share in the company鈥檚 success. Together, we鈥檒l win as a team, striving to uphold our and powerful backing promise to provide the world鈥檚 best customer experience every day. And we鈥檒l do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
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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: AWS, Java, Spring Framework, 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
路聽聽聽聽聽聽聽3 years of experience with applying Agile methodologies
路聽聽聽聽聽聽聽Bachelor's degree in computer science, Engineering, Information Systems, or a related STEM field
路聽聽聽聽聽聽聽3+ years of experience with Java, microservices, React framework.
路聽聽聽聽聽聽聽3 years of experience with applying Agile methodologies
路聽聽聽聽聽聽聽1 year of experience with public cloud platform (GCP, AWS,聽聽...) optimization, enabling managed and serverless service.聽
Preferred Qualifications
路聽聽聽聽聽聽 Bachelor's degree in computer science, Engineering, Information Systems, or a related STEM field
路聽聽聽聽聽聽聽聽3+ years of experience with Python, microservices, React framework.
路聽聽聽聽聽聽聽聽3+ years of experience with Python, microservices, React framework.
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. Benefits include:
- Competitive base salaries聽
- Bonus incentives聽
- Support for financial-well-being and retirement聽
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)聽
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need聽
- Generous paid parental leave policies (depending on your location)聽
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)聽
- Free and confidential counseling support through our Healthy Minds program聽
- 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. 聽
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
