AI/ML Python Software Engineer (OCR)

About iBusiness Funding

iBusiness Funding is a software and lender service provider specializing in small business lending. Our technology, team, and process enable us to support loans from $10,000 to $25 million for our lending partners. Our technology solutions have been proven to quickly scale our clients’ portfolios without the need for additional overhead. Our flagship product, LenderAI, features end-to-end lending functionality from sales all the way through servicing

To date, we’ve processed over $11 billion in small business loans and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family.

Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive!

Position Description

If you want to build applied machine learning pipelines, we want you to join our team!

We’re assembling a team that understands the ins-and-outs of architecting and engineering an ML automation pipeline for processing unstructured data. We have tons of data to leverage for fine-tuning or training our own models! We’re interested in figuring out how accurate we can get different models to support our automation and processing pipeline.

Major Areas of Responsibility

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  Work closely with Architects, Developers, QA, DevOps and Product Owners to solve complex problems.
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  Scrape, store, group and tag unstructured data from multiple sources with varied intent
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  Be a contributing member of our OCR/Computer vision AI/ML development team
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  Set-up and run multiple experiments at a time to figure out the best path forward
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  Help architect and engineer automation pipelines and interfaces
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  Attend daily stand-up meetings with the team and demo your work each week
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  Thrive in an agile, fast-paced environment

Required Knowledge, Skills, and Abilities

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  3+ years of experience as a Python Software Engineer (Senior or above)
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  Strong experience with Python, Keras, TensorFlow, Jupyter, etc
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  Strong experience with AWS cloud service: Cloudwatch, Lambda, Dynamo, API Gateway, S3, SQS, RDS
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  Strong experience creating APIs from scratch and integrating with 3rd party APIs
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  Solid knowledge of Database technologies (Dynamo, PostgreSQL, SQL) and database schema design
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  Strong experience with logs and ability to troubleshoot efficiently
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  Strong experience with version source control (Git)
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  Experience with documenting code
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  Team oriented
  

Nice To Haves:

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  You’ve built and trained some models (CNNs)
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  You’ve used tools like LangChain, LLamaIndex, Oobabooga, Etc
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  Understanding of NLP, Data Science

Conclusion:

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information or any other characteristic protected by law.