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About the Role
As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focuses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions.
Responsibilities
- Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
- Write clean, efficient, and well-documented code for data processing, model training, and deployment.
- Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
- Conduct experiments to evaluate model performance and optimize algorithms for scalability.
- Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
- Collaborate with the Engineering team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
- Actively participate in technical discussions and forums across Amex.
Requirements
- Advanced degree (Master/PhD) in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
- Strong programming skills in at least one language (Python, Java, C++, etc.).
- Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries.
- Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
- Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
- Solid understanding of Large Language Models and practical experience with Generative AI.
- Strong ability to translate real-world problems to data science problems.
- Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.
Skills
- AI/ML
- Generative AI
- Python
- Java
- C++
- TensorFlow
- PyTorch
- scikit-learn
- NLP
- Deep learning
- Large Language Models
Work Type
- hybrid
- onsite
- virtual
Education Level
- Master's degree
- PhD
Benefits
- 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
About the Company
- 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.
- From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
- As part of Team Amex, you’ll experience our 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.
Equal Opportunity
- Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.