Amex
Bangalore
Financial Transaction Processing
You Lead the Way. We’ve Got Your Back.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
Serving as a member of Cyber Data Science team that creates data driven products and services using Data Science, Machine learning, Statistics for Information Security and IT Risk customers
Responsibilities:
- Designing, building and supporting machine learning solutions that drive value to the business customers
- Designing and implementing scalable data science/machine learning models and model pipelines in production
- Optimize machine learning model which includes hyper-parameter tuning, automation, deployment and scalability
- Ability to work on wide variety of modeling areas like Anomaly Detection, Risk Modeling, Threat Prediction, Recommendation Systems etc.
- Demonstrate expertise in software engineering best practices and apply to the development, execution and deployment of machine learning models in production
- DevOps development for continuous integration and delivery of data science models
- Applying statistical techniques, data mining and machine learning to create actionable insights from 120+ sources in the Information Security Big Data Platform and integrating it with products and operational processes
- Work cross functionally with Data Scientists, ML Engineers, Platform Engineers, Data Engineers, Web Engineers & Designers to build real world AI-driven solutions
Education & Skills:
- 3+ years of relevant software development experience in building and deploying products related to artificial intelligence or machine learning models
- Bachelor’s or Master’s in Computer Science/Engineering or other related discipline
- Python – pandas, numpy, Jupyter notebooks
- Modeling – Scikit-learn, Tensorflow, pyspark, Keras
- Feature engineering, data visualization and data analysis is must
- Knowledge in areas such as Probabilistic Inference, Machine Learning (Supervised/Unsupervised), NLP, Optimization, Information Retrieval, Reinforcement Learning, Deep Learning
- Experience in working with large volumes of data
- Experience with Git and CI/CD tools
- Data ecosystems – Hadoop, Hive, Spark is a plus
- Hands-on experience with GCP, AWS, Docker, Kubernetes is a plus
- Experience in the Cybersecurity or IT risk domain is preferred but not required
- Experience in working with geographically distributed teams in a plus
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.
Submit CV To All Data Science Job Consultants Across India For Free