iBusiness Funding is a technology company focused on our mission to provide working capital to small and medium sized businesses in an efficient and transparent manner. We are committed to our four values of success: innovation, integrity, enjoyment, and family.
Our parent company is a top 15 SBA 7(a) preferred lender with SBA express and small loan capabilities.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.Essential Duties and Responsibilities:
- Work closely with Architects, Developers, QA, DevOps and Product Owners to solve complex problems.
- Scrape, store, group and tag unstructured data from multiple sources with varied intent
- Be a contributing member of our OCR/Computer vision AI/ML development team
- Set-up and run multiple experiments at a time to figure out the best path forward
- Help architect and engineer automation pipelines and interfaces
- Attend daily stand-up meetings with the team and demo your work each week
- Thrive in an agile, fast-paced environment
**For out of area applicants, this job may be performed remotely from your home**Qualifications for Success:
- 3+ years of experience as a Python Software Engineer (Senior or above)
- Strong experience with Python, Keras, TensorFlow, Jupyter, etc
- Strong experience with AWS cloud service: Cloudwatch, Lambda, Dynamo, API Gateway, S3, SQS, RDS
- Strong experience creating APIs from scratch and integrating with 3rd party APIs
- Solid knowledge of Database technologies (Dynamo, PostgreSQL, SQL) and database schema design
- Strong experience with logs and ability to troubleshoot efficiently
- Strong experience with version source control (Git)
- Experience with documenting code
- Team oriented
Bonus:
- You’ve built and trained some models (CNNs)
- You’ve used tools like LangChain, LLamaIndex, Oobabooga, Etc
- Understanding of NLP, Data Science
Physical Demands:The physical demands of the position are typical of those found in a traditional office environment. Employees will not need to walk significant distances nor lift substantial weight. Employee will need to be able to remain seated at a desk for 8-9 hours in a typical workday.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.
