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.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a specialty financial services firm with a comprehensive mortgage platform and an integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market.   

Occupy a unique position in the market, leading the design, development, and deployment of cutting-edge AI/ML solutions within the Intelligent Document Processing (IDP) service for the Document Services workstream. This candidate will play a crucial role in leveraging AWS Bedrock to build and optimize models that automatically classify, extract information, and process various types of documents. This role requires a deep understanding of machine learning algorithms, natural language processing (NLP), computer vision, AWS cloud technologies, and MLOps practices. This machine learning engineer will be a key contributor in driving innovation and delivering impactful solutions to enhance our document processing capabilities.

Responsibilities: 

• IDP Solution Architecture: Lead the design and implementation of AI/ML solutions for IDP on AWS Bedrock, including model selection, training, optimization, and deployment. Focus on models that can accurately classify document types, extract key information (e.g., names, dates, amounts), and understand document structure.
• AWS Bedrock Expertise: Demonstrate deep understanding and proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) for various IDP tasks, such as document classification, named entity recognition, optical character recognition (OCR), and information extraction.
• Model Development and Optimization: Develop and optimize high-performance machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy) for NLP and computer vision tasks specific to document processing.
• MLOps Implementation: Implement and manage MLOps practices to ensure efficient model development, deployment, monitoring, and retraining within the IDP pipeline.
• Cloud Infrastructure Management: Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) to build and manage scalable and cost-effective cloud infrastructure for IDP workloads.
• Data Engineering: Collaborate with data engineers to design and implement robust data pipelines for efficient document ingestion, preprocessing, and feature engineering.
• Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of innovation and collaboration within the Document Services workstream.
• Performance Optimization: Continuously evaluate and optimize model performance, identifying and addressing bottlenecks to improve accuracy and efficiency of the IDP service.
• Research and Innovation: Stay abreast of the latest advancements in AI/ML, NLP, computer vision, and cloud technologies, exploring and evaluating new techniques and tools to enhance our IDP solutions.
• Collaboration: Work effectively with cross-functional teams (e.g., product management, data science, software engineering) to deliver impactful IDP solutions that meet business requirements.

What will help you succeed

• 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