Senior Machine Learning Engineer - Finance

18 hours ago

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Truelogic Software

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Custom web and mobile software development • E-commerce development • Staff Augmentation Services • Offshore Development • Application Design - User Experience (UX)

501 - 1000

Description

• Truelogic is a leading provider of nearshore staff augmentation services, located in New York. • Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. • Truelogic has been helping companies of all sizes to achieve their digital transformation goals. • You will have the opportunity to work in a forward-thinking and growth-oriented environment. • Leading design, development, and deployment of cutting-edge AI/ML solutions within Intelligent Document Processing (IDP). • Play a crucial role in leveraging AWS Bedrock to build and optimize models. • This machine learning engineer will be a key contributor in driving innovation and delivering impactful solutions.

Requirements

• 5-7 years of experience in data engineering. • 3-5 years of experience with software development • Deep experience with Snowflake and Stored Procedures • Extensive experience working with Python and modern web frameworks • Experience with queueing systems (Celery, SQS, Pub/Sub, etc) • Expert level knowledge of Python 3, Object-Oriented Code & Design Patterns • Strong Experience with Python frameworks (e.g. Fast API, Flask, Django) • Strong Experience with REST APIs • Strong Experience with Git • Strong Experience Writing Unit Tests • Experience utilizing at least one other modern language in a production application (Typescript strongly preferred) • Experience with Event Driven Systems & Microservices • Experience with Amazon Web Services (AWS) and serverless • Experience with Infrastructure as Code (Cloudformation & CDK) • Knowledge of Databases (SQL, NoSQL) • Knowledge of DevOps Practices (CI/CD, Automated Pipelines) • Experience with Agile, Scrum, Jira • Financial Services and, if possible, mortgage industry experience preferred