NiCE CX solutions provides enterprise-level analytics for business communications, aiming to help companies solve critical issues like identifying best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction by developing new algorithms and AI models.
Requirements
- Experience designing the internals of successful commercial speech recognition systems from vendors such as Microsoft, DeepGram, Meta, AssemblyAI, OpenAI, etc.
- Minimum of 5 years of machine learning work experience with at least 3 years working with deep learning models using real-life data.
- Excellent proficiency in Python programming and familiarity with deep learning libraries (e.g., PyTorch, TensorFlow).
- Experience turning inference from research level to enterprise production level.
- Advanced knowledge of statistical techniques and concepts (e.g., regression, statistical tests).
- Experience with building and/or fine-tuning large language models and traditional machine learning models.
- Strong research skills with a proven track record of developing and implementing NLP algorithms.
Responsibilities
- Conduct cutting-edge research and develop advanced speech recognition algorithms and models.
- Build and fine-tune deep learning and machine learning models, with a focus on large language models.
- Develop AI predictive models and perform data and model accuracy analyses.
- Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders.
- Develop and maintain scripts/tools to automate both new model production and updates to existing model packages.
- Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base.
- Collaborate with developers to design automation and tool improvements for model building.
Other
- Advanced degree(s) in a STEM field such as Computer Science, Mathematics, Engineering, or equivalent practical experience.
- Excellent verbal and written communication skills, including the ability to present complex concepts to technical and non-technical stakeholders.
- Published research papers in the field of NLP or related areas.
- Experience working on international, globe-spanning teams.
- Experience as part of a software organization.
