Data Scientist Generative AI and Document Extraction

Job Title: Data Scientist Generative AI and Document Extraction

Onsite role 3 days Hybrid
Note: looking for someone really strong with Gen AI; background with python/AI

Locations: Addison TX / Charlotte NC

To make this efficient and productive for both, please see the two key aspects we are looking for in a candidate:

1. Working experience with deploying model(s) into production. Have contributed significantly or have been a major part of a team which deployed an ML, NLP, GenAI model from start to finish into production. Be able to clearly describe the problem, the customer/user, requirements, data used, model dev, key model related considerations for putting the it into production (real life use).
2. More of ML/NLP practitioner experience than academic or R&D knowledge.
3. Have experience in working in a team lead role (even for a small team). Be able to taken an ML assignment and be able to run with it as a team lead. Experience in support tech manager in model development activities.

Resumes should be limited to two pages max. In summary, mature, technically proficient, junior team lead ML/NLP practitioner.

Key Responsibilities

• Develop and implement AI models focused on data extraction, document processing, and content management within a large-scale, data-driven environment.
• Leverage Generative AI and deep learning techniques to extract, interpret, and structure data from unstructured documents.
• Collaborate with cross-functional teams to optimize data processing workflows and integrate AI-driven document management solutions.
• Design, develop, and deploy machine learning models and algorithms in Python to improve accuracy, efficiency, and scalability.
• Lead research on the latest advancements in Generative AI, ML, and NLP to enhance document understanding and content retrieval systems.
• Work closely with stakeholders to identify pain points in document management and propose innovative, AI-powered solutions.

REQUIRED SKILLS
7+ years of experience as Data Scientist or related roles
Bachelor s degree in Computer Science, or a related technical field
Deep understanding and some exposure to new Gen AI Open-source Models
At least 5 years programming experience in software development and Agile process
At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.
Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization
Experience in ML/NLP development pipelines of large data sets, both structured unstructured
At least 2 years experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
Knowledge and hands-on experience working with OCR products

DESIRED SKILLS
Master s degree in Computer Science/Data Science, or a related technical field
Collaborating with a diverse set of partners and stakeholders from various Line of Business.
Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight
Critical thinker; ability to analyze problems and 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
Analytical abilities great problem solving

Email: