Sr ML Engineer

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities privacyenhancing computation and cloud native platforms AIaS powers and automates industrialization of data models and applications. Combined with strong governance AIaS optimizes the performance scalability interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space learn fast and make big impacts Visa AI as a Service is an ideal place for you!
This position is for a Sr. ML Engineer with solid background in development and production of AI and ML systems for batch and real time predictive use cases. The right candidate is one who will focus on creating and maintaining new capabilities for AI as a Service while maturing our platforms and processes. In this position you are first a passionate and talented engineer who can work in a dynamic environment has strong problemsolving coding testing and troubleshooting skills.  You must be willing to go beyond the routine challenge yourself and be prepared to do a bit of everything during the entire platform development lifecycle.

You will be an integral part of the AIaS engineering team often investigating new requirements designing refactoring implementing and documenting continuously in a continuous effort to provide better solutions to your consumers. You must be a selforganized individual should be flexible and willing to switch tasks based on business needs.

If this sounds exciting we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications :

3 or more years of work experience with a Bachelors Degree or Advanced Degree (e.g. Masters MBA JD MD)
Strong Development experience in Java and Python on Linux environments
Knowledge of standard Big data with Batch and Real Time ecosystems such as Hadoop Spark Kafka Redis Flink Airflow and similar technologies
Hands on experience with Kubernetes Docker with distributed frameworks like Ray and Spark
Hands on experience in building and maintaining Data and Model engineering pipelines feature engineering pipelines and should be comfortable with core Machine Learning / Data Science concepts including popular frameworks like Tensorflow Keras Pytorch etc.
Hands on experience in engineering testing validating and productizing AL/ML models for high performance use cases
Knowledge about DR / HA topologies
Knowledge of using and maintaining DevOps tools (Jenkins Ansible Shell Scripts) and implementing automations for production

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

No

Employment Type :

Fulltime