Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for end to end of model development life cycle.
Communication with release manager on product related issues and enhancements.
Uplift existing system to new ML platform and conduct migration testing Automated transformation and data analysis pipeline to create visualization reports and monitoring
Capability of implementing REST/function API with various type of database
Review metadata, provide trouble shooting and change requirement between file batches
Capability of writing, debugging and compiling codes in Machine learning Operation environment
More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Amex
Qualifications
At least 3+ years of experience in the following areas: Bachelor or Master degree in Computer Science, Computer Engineering.
Hands on knowledge of JAVA, Python, Rest API, Function API, SQL/Hive QL
Deep understanding of CI/CD process and tools like – Git, Docker, Jenkins, XL Release etc.
Experience with SQL/NSQL databases (MongoDB, Couchbase, Postgres, Cassandra)
Knowledge in public cloud platforms like AWS, GCP, and Azure
Ability to scale to big data framework (Hive, pySpark)
Nice to have experience with any of the Container technologies
Kubernetes, Helm, Openshift etc.
Prefer knowledge on Airflow, MLflow.
Ability to work in cross functional teams
Excellent data presentation and visualization skills