Job Responsibilities

• Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes.
• Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives.
• Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions.
• Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development.
• Translate product roadmap into well defined requirements and acceptance test criteria.
• Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams
• Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption
• (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users
• Create POCs for best in class AI-ML innovative products with the potential to scale

Minimum Qualifications

1. Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization.
2. Strong quantitative, analytical, and structured problem-solving skills. 
3. Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families, optimizations considerations for ML models, deployment and serving challenges.
4. Knowledge of Big Data Platforms such as Hadoop, Spark and Cloud Platforms such as GCP.
5. Knowledge of designing and building big data tools and frameworks
6. Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams 
7. Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies. 
8. Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams
9. Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow.
10. Familiarity with product management tools such as Rally, Jira, and Confluence
11. Excellent verbal and written communications skills
12. Undergraduate/Master’s in Computer Science / Information Technology / Mathematics / Operations Research / Statistics, MBA from institutes of global repute.

• 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 
• 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