Software Engineer III - ML,Python
Software Engineer III - ML,Python
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1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Software Engineer III at JPMorgan Chase within Consumer & Community Banking line of business youwill be an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Collaborate with cross-functional teams including data scientists and software engineers to understand model requirements and integrate them into applications
- Develop and implement strategies for deploying machine learning models into production ensuring scalability reliability and efficiency
- BuildingML Model Servingpipelineson AWS using Python/Pyspark code tuning spark queries
- Design and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the testing deployment and updating of machine learning models
- Manage and optimize the infrastructure required for running machine learning models including cloud servicesAWS EMR cluster configurations
- Implement monitoring and logging solutions to track model performance detect anomalies and ensure models are operating as expected in production.
- Respond to incidents and troubleshoot issues related to model performance data quality and infrastructure
- Contribute to the groups knowledge base by finding new and valuable ways to approach problems and projects.
Required qualifications capabilities and skills
- Formal training or certification on software engineering* concepts and 3 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Strong Python Programming Skills including PandasNumpyBoto3 and Scikit-Learn.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud:AWS artificial intelligence machine learning)
- Strong expertise in deploying and managing machine learning models in production environments
- Proficiency in building and maintaining CI/CD pipelines for machine learning workflows.
- Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
- Strong experience in Python programming language with Machine Learning library and ecosystem experience ( Pandas Numpy boto3 etc)
- Experience working with databases such as Cassandra MongoDB DynamoDB or Teradata
- Experience with Unix and Shell scripting
- Comfortable working in an Agile and collaborative environment.
Employment Type
Full-Time
