Position: Data Science
Company: The Interface Financial Group
Experience required: 5y
English level: upper

At IFG, your work will have an immediate impact on clients addressing real world challenges. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying state-of-the-art NLP techniques to real-world problems where data must be gathered, transformed, cleaned, integrated into a larger architecture, and deployed. A financial background is a plus.
Work with other machine learning scientists and engineers to develop custom NLP solutions for a variety of industries and use cases
Build machine learning pipelines from ideation up through prototyping, development, and deployment
Develop, train, and validate machine learning algorithms
Apply SoTA modeling techniques in multi-lingual and multi-modal contexts
Help create generalized solutions out of specific use cases
Help identify areas of opportunity and improvement within projects
Research new techniques and technologies in the NLP space and evaluate their potential for business use cases
Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)
Experience in NLP feature engineering and modeling (e.g., text classification, entity recognition, dependency parsing)
Experience with SoTA modeling techniques, such as transformers (e.g., BERT, GPT)
Experience in applying NLP in multi-lingual and multi-modal contexts
Experience taking an NLP project from concept to production
Expertise with Python
Building deep neural networks with modern tools, such as PyTorch or Tensorflow
Building, testing, and deploying NLP-based solutions