Manager -Data Science

Function Description:

With a focus on digitization, innovation, and analytics, the Global Decision Sciences (GDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of GDS is the integration of diverse skills across all of its remit. GDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The Amex AI Labs of American Express Corporation is looking for best in class Senior Research Engineers to work in a dynamic and rewarding workplace. Amex AI Labs is currently co-located in Bangalore, Gurgaon and New York and involves dynamic and talented researchers with Ph.D. or Master’s degree from top tier institutes in India and abroad having research and product development expertise in AI/ML technologies such as - Deep Learning, Data Science, Natural Language Processing, Cloud Technologies and related technical areas. Going beyond building products and solutions for traditional financial domains such as credit and fraud, the team is also working on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problems, in a domain-agnostic manner, for American Express.

Purpose of the Role: Collaborate on next generation research services in the areas of Artificial Intelligence (AI) to aid solutions to complex business problems for American Express

Responsibilities:

Amex AI Labs is looking for individuals with AI R&D background for AI Research & Services team in Bangalore/Gurgaon. The team works on handling capabilities centred on Document Analysis, NLP, AI research from conception to launch. Successful candidates are expected to partner with different business and technology teams in American Express to build capabilities for high impact use-cases. We are looking for extremely agile and entrepreneurial candidates who will help innovate and execute product initiatives across the company.

• Lead the ideation and launch of innovative AI/ML capabilities & services

• Hands on Deep learning Algorithms like BERT, RNN, LSTM, Transformer, GRU, GAN etc

• Understanding Generative AI based closed source models like ChatGPT, Claude, Llama for different usecases

• Fine Tuning open source models like Llama and other models on domain specific data

• Working with MLOPs capability like MLFlow, AirFlow etc and understanding of deployment capabilities on public cloud (AWS, GCP) and on-prem infrastructure

• Technically hands-on working with big data sets using Python/JAVA/SPARK, doing EDA and bringing insights from data

• Building POCs basis on research papers analysis while simulating business impact and Transform MVPs to production grade capabilities in collaboration with engineering teams

• Authoring and publishing papers, adopting open source tools, presenting in conferences, conducting R&D driving company revenue.

• Innovate ways to evangelize the product to drive Amex wide user adoption

• Contribute to the strategy and roadmap of AI/ML Initiatives to help drive most impact

• Evaluate prospective features in AI Services and ability to prioritise them with changing requirements in the direction of AI adoptions.

Leadership Outcomes:

• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

• Demonstrate learning agility, make decisions quickly and with the highest level of integrity

• Lead with a digital mindset and deliver the world’s best customer experiences every day

Minimum Qualifications

• • Strong Internal Candidate Preferred
• • 5+ years of building machine learning models using advance AI techniques

  4-5 years of experience in working with product/engineering/automation development teams in a fast paced, complex, and dynamic environment.

  • Experience in leveraging Agile, Scrum or other rapid application development methodologies

  Undergraduate/Master’s/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute.

Preferred Qualifications

• Technical Skills:

• 1. Good coding skills in Python, SPARK, Hive, GIT, API

• 2. Good Understand of Deep Learning Algorithms

• 3. Superior math & programming skills and hands-on experience in machine learning tools

• 4. Understanding of how CI/CD works

• 5. Exposure to Public Cloud Deployment (AWS, GCP)

• 6. Proficient in statistical techniques

• 7. Background in Natural Language Processing - with hands on experience in frameworks like langraph, langchain, vector databases, Agentic frameworks

• Behavioral Areas:

• Enterprise Leadership Behaviors

• • Set The Agenda: Put Enterprise Thinking First, Lead with an External Perspective
• • Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• • Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage