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As a Software Engineer III, Machine Learning and Cloud at JPMorgan Chase within the Consumer and Community Banking, Machine Learning Delivery Americas team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Embark on an inspiring journey of technology and innovation leveraging your engineering skills to build Machine Learning products.
You will drive the technical decisions to engineer and deploy ML models catering to various Consumer and Community Bank Finance products by collaborating with Data Scientists, Product and Data Engineers.
Job Responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting.
- Writes secure and high-quality code using Python or Java programming languages.
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation.
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity.
- Leverages Cloud services to build ML pipeline to implement, deploy and productionize ML Models.
- Works with Business stakeholders and Product Owners to understand requirements.
- Works with SRE for any infrastructure / production changes.
- Ingests data from multiple sources.
- Adds to team culture of diversity, equality, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Experience in Python programming language.
- Hands-on practical experience using PySpark API.
- Understanding of and ability to learn the basic architecture of Cloud services and usage.
- Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive.
- Experience working with databases such as Oracle or Cassandra.
- Exposure to Agile and scrum methodologies.
- Familiarity with CI / CD, Application Resiliency, and Security.
- Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.
Preferred Qualifications, Capabilities, and Skills
- Knowledge of technologies such as Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS.
- Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.).
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