Job Information
American Express Director - Machine Learning Engineering in Karnataka, India
Description
You Lead the Way. We’ve Got Your Back.
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’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll 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 .
American Express is embarking on an exciting transformation on building the next generation customer first ecosystem for democratizing A.I./Machine Learning in Amex on the Cloud. You will be leading an energetic A.I./Machine Learning Platform Engineering team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Travel & Lifestyle, Marketing, etc.) to drive strategic planning and a cohesive set of technology solutions enabling Augmented Intelligence. This position provides an opportunity to solve very interesting problems, you will have significant leadership and influence on the evolution of our A.I./Machine Learning products.
This role within American Express Technology (AET) CTO Organization, will report into the VP Data Science,
Responsibilities :
Drive A.I./Machine Learning Platform Engineering vision, strategy, and execution across Amex
Combine A.I./Machine Learning and Engineering skills to implement highly scalable platform components and tools to solve real-world problems in areas such as Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
Closely follow research and open source developments/publications and apply them.
Help craft the direction of machine learning and artificial intelligence at AmEx
Work closely with product owners, technology senior leadership and peers to define solution requirements and technical implementation approach
Responsible for developing and defining deployment strategies for models and AI artifacts in Cloud infrastructure
Responsible for Performance optimization and other strategies to handle scale and throughput of model scoring performance
Drive both high-level and detailed technical designs and conduct design reviews as needed
Provide technical mentorship to other software engineers at all levels
Implement new, highly scalable platform components
Responsible for health and quality of the code across the portfolio, including leadership over SCM, functional testing, and CI/CD tool integration
Actively participate in team and company-wide architecture and engineering discussions and forums
Qualifications :
Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. Advanced degree preferred.
10 years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
Experience building and delivering sophisticated platforms that leverage various machine learning algorithms or technologies and are able to scale optimally.
Experience in one of the following fields: Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems, Bayesian Inference, Advanced time series forecasting
Excellent verbal and written communications skills.
Hands-on Experience with most of the following:
Open-source solutions:
Orchestrate: Airflow, Kubeflow Pipelines, ML Run
Container: Docker, Kubernetes, Mesos Marathon
Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
Observability: Prometheus, Grafana, Elasticsearch
Development:
Programming Language: Python, Java, Scala, Julia
IDE: Notebooks, PyCharm, VS Studio
Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
Feature Store: Hopsworks, Feast, or other purposed built Feature Store
Model Format: ONNX, PMML
Hands-on Experience with following message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus:
- Amazon Kinesis / GCP PubSub, Apache Flink, Apache Kafka, Apache Kylin, Apache NiFi, Apache Samza, Apache Spark, Apache Storm, Hadoop, Hive, Zeppelin/ Jupyter
Qualifications
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
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.
Job: Technology
Primary Location: India-Haryana-Gurgaon
Other Locations: India-Haryana-Gurgaon, India-Karnataka-Bengaluru Urban
Schedule Full-time
Req ID: 24006305