Application Development / Maintenance (a/k/a Artificial Intelligence & Machine Learning)

    • State Street Corporation
  • Posted 28 days ago | Updated 28 days ago

Overview

On Site
USD 157,643.00 - 180,000.00 per year
Full Time

Skills

Natural language processing
Application development
Artificial intelligence
Machine Learning (ML)
Data Visualization
Build automation
Data collection
Quality assurance
Mathematical modeling
Use cases
Big data
Cloud computing
Relational databases
Computer science
Statistics
Data Analysis
Customer experience
Business process
Mergers and acquisitions
Design
Debugging
Microservices
Software deployment
Data
Collaboration
Streaming
Python
JavaScript
Graph databases
Apache Kafka
Continuous integration
Continuous delivery
Agile
Telecommuting
Policies
Testing
Algorithms
Operations

Job Details

Application Development / Maintenance (a/k/a Artificial Intelligence & Machine Learning)(multiple positions)( State Street Bank and Trust Company; Boston, MA ): Design, develop, test, debug, and support cognitive microservices to operationalize and productize deployment of resulting models and cognitive software solution, utilizing machine learning and artificial intelligence technologies. Perform data collecting, preprocessing, feature engineering, data visualization and analysis. Build automation of data collection and preprocessing. Understand Data Sources and building ingestion pipeline. Code new technology features. Collaborate with a team of data scientists, machine learning engineers, software engineers and quality assurance engineers. Apply computational/mathematical modeling and build models to address business problems. Engage with lines of business, users, and analysts to explore and prototype opportunities and use-cases exploiting data and the applications of cognitive and machine learning software technologies. Work on different technology streams using Python, Go, JVM languages, JavaScript, GraphDB and Kafka. Participate fully in the technical community by attending conferences, meetups, and hackathons. Apply knowledge of Natural Language Processing, Big Data/Cloud technologies, Relational databases, CI/CD Development environments and tools, and Agile development methodology. Work with data scientists, machine learning engineers, software engineers and quality assurance engineers to provide guidance and direction ensuring that the team's work is aligned to the bank's objectives. Telecommuting from within the United States permitted pursuant to Company policy.

Minimum Requirements: Bachelor's degree, or its equivalent, in Computer Science or a related field; plus 5 years of experience as a Software Developer or any other occupation/title providing relevant experience. Alternative Requirements: Master's degree or its equivalent, in Computer Science or a related field; plus 3 years of experience as a Software Developer or any other occupation/title providing relevant experience.

Must have: Demonstrated experience designing, developing, testing, debugging, and supporting cognitive microservices to operationalize and productize deployment of resulting models and cognitive software solution, utilizing machine learning and artificial intelligence technologies; proven ability to use statistical analysis, ML algorithms to develop Data Analysis pipelines to analyze large sets of data to identify trends that can help improve the bank's operations, customer experience and overall performance; proven ability to collaborate effectively with other teams to design and implement data-driven solutions that improve business processes and outcomes; and demonstrated experience applying knowledge of Natural Language Processing, Big-Data/Cloud technologies, Relational databases, CI/CD Development environments and tools, and Agile development methodology.

To apply to this position, you must click the "Apply" button on this page and complete the online application . An EOE.

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Salary Range:
$157,643 - $180,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.