About the role
Requirements:
- 5+ years of experience as a data scientist or in related roles.
- Bachelor's degree in computer science or a related technical field.
- Deep understanding and some exposure to new GenAI open-source models.
- At least 5 years of programming experience in software development and Agile processes.
- At least 5 years of Python (or equivalent) programming experience to work with ML/NLP models.
- Experience in setting up supervised and unsupervised learning ML/NLP models, including data cleaning, data analytics, feature creation, model selection, ensemble methods, and performance metrics visualization.
- Experience in ML/NLP development pipelines of large data sets, both structured and unstructured.
- At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one or more of the following: named entity recognition, document classification, document summarization, topic modeling, dialog systems, sentiment analysis, and OCR text processing.
- Knowledge and hands-on experience working with OCR products.
Desired Skill:
- Master's or bachelor's degree in computer science/data science, or a related technical field.
- Collaborating with a diverse set of partners and stakeholders from various lines of business.
- Highly motivated, proactive, and a self-starter; strong sense of ownership and ability to create and execute plans without daily oversight.
- Critical thinker; ability to analyze problems, identify issues, and provide solutions.
- Ability to navigate the enterprise data assets across multiple functions.
- Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment.
- Excellent communication and presentation skills.
- Great analytical abilities and problem-solving skills.
- Client-focused.