Job Posting: ML & MLOps Lead
What does a successful ML & MLOps Lead do at Fiserv?
We are in search of experienced Lead Developer with custom ML implementation with Python and MLOps implementation. You will be working on top-notch product where ML is implemented for fraud detection.
What you will do:
- End to end Implementation ML for Fraud detection.
- Implementation of MLOps framework and governance
- Work with Data scientists to implement ML model for Fraud detection, Underwriting, etc.
- Understand the scope of data and come up with dimensionality reduction, data cleaning, etc.
- Bring value to the project by suggesting of appropriate ML algorithms
- Bring industry best practices of MLOps and continusously improve the MLOps pipeline to be the best ever
- Incorporate Enterprise and other Governing body security standards in ML Implementation
- Understand and create the architecture and roadmap for custom ML applications.
What you will need to have:
- The role of the ML /MLops Lead is to
- Understand the requirement and design ML models and MLOps pipeline.
- Design, Development & deployment of models in python & utilization of data from different sources like AWS, Snowflake, Kafka/MQ etc.
- Integrate with Snowflake and AWS tools
- Develop scripts in Unix/python scripting for implementing MLOps. Hand-on is must for ML and MLOps.
- Work with Fiserv Leads to understand standard practices followed in the project and adhere
- Work with and support application team and extend hands to analyse the data, issues and fix them
- Technical Requirement : Python, ML, MLOps, Unix, AWS
What would be great to have:
- Snowflake (good to have), SQL, MQ (good to have).
R-10358467
