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Remote Nlp Engineer
- Insight Global (Jacksonville, FL)
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Job Description
We’re looking for an NLP Engineer II to join our NLP team. They will be responsible for developing advanced AI solutions to some of healthcare's major pain points. We are looking for someone passionate for developing high quality solutions in a collaborative manner. Working with other members of the NLP team and partners such as clinicians, product managers, and software engineers. They will be expected to develop key NLP components.
Pay rate for this position will vary based on skillset: $120,000-130,000
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• 2 years or more of experience in NLP, machine learning, or data science roles.
• Strong Python fundamentals and Git-based development workflow.
methods and hands-on experience with Hugging Face Transformers and spaCy.
• Working knowledge of PyTorch; able to adapt open-source models for domain-specific tasks.
• Exposure to Spark or Databricks for large-scale data processing.
Workflow tools such as Azure ML or MLflow; experience writing tests and participating in code reviews.
• Any cloud is better than no cloud – will take AWS or Azure but prefers Azure. • BERT LLM (large language model) experience
• Healthcare background
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