Data scientist with GenAI

Envision Technology Solutions; Addison (TX); Sur place; USD 120 000 - 170 000; Plein temps

Résumé du poste

Envision Technology Solutions in Addison, TX is seeking a senior Data Scientist with 7+ years of experience to lead ML/NLP initiatives. You will design and optimize end-to-end models, develop NLP pipelines, and apply OCR-based document processing across large datasets.

Ideal candidates have a CS or Data Science degree, strong Python skills, hands-on experience with GenAI frameworks, and familiarity with Agile development practices in a fast-paced environment.

Qualifications

• 7+ years of experience as a Data Scientist or in a related role.
• Bachelor’s degree in computer science, Data Science, or a related technical field.
• 5+ years of programming experience with strong proficiency in Python for ML/NLP development.
• Proven experience developing supervised and unsupervised ML models, incl. data analysis, feature engineering, training, validation, and performance optimization.
• Hands-on experience building ML/NLP pipelines for large datasets (structured & unstructured).
• 2+ years of enterprise ML/NLP solutions including NER, Document Classification/Summarization, Topic Modeling, Sentiment Analysis.
• Experience with OCR technologies and document processing solutions.
• Exposure to open-source GenAI models and frameworks (e.g., Hugging Face, LLaMA, Mistral, LangChain).
• Experience working in Agile software development environments.

Connaissances

Python for ML/NLP

Data analysis

Feature engineering

Model training & evaluation

NLP pipelines

Agile methods

OCR tech

NER / Document tasks

GenAI models

Formation

Bachelor's degree in CS/Data Science

Outils

Hugging Face

LangChain

LLaMA

Mistral

Description du poste

Experience: 7 to 10 yrs

Required Qualifications

• 7+ years of experience as a Data Scientist or in a related role
• Bachelor’s degree in computer science, Data Science, or a related technical field
• 5+ years of programming experience, with strong proficiency in Python for ML/NLP development
• Proven experience developing supervised and unsupervised ML models, including:
  • Data analysis and feature engineering
  • Model training, validation, and performance optimization
  • Ensemble techniques and evaluation metrics
• Hands‑on experience building ML/NLP pipelines for large‑scale datasets (structured & unstructured)
• 2+ years of experience developing enterprise ML/NLP solutions in one or more of the following:
  • Named Entity Recognition (NER)
  • Document Classification
  • Document Summarization
  • Topic Modeling
  • Sentiment Analysis
• Experience working with OCR technologies and document processing solutions
• Exposure to open-source GenAI models and frameworks (e.g., Hugging Face, LLaMA, Mistral, LangChain)
• Experience working in Agile software development environments