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Pharma AI Engineer
Career Insights for Natural Language Processing Engineer
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$141,067 / year median in New York
Job Description
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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Life Sciences, or related field
- Background within pharma, lifesciences or biotechnology, ideally within research
- 3-6 years of professional software engineering, machine learning engineering, or AI engineering experience.
- Experience deploying and supporting at least one AI or machine learning solution in a production environment.
- Strong proficiency in Python and modern software engineering practices.
- Hands-on experience with AI/ML frameworks and tools such as: PyTorch or TensorFlow Hugging Face Scikit-learn Pandas
- Experience building applications powered by large language models (LLMs), including: Prompt engineering Retrieval-Augmented Generation (RAG) Model evaluation Cost and latency optimization
- Understanding of cloud-based AI development environments and modern AI application architectures.
- Experience working directly with technical stakeholders to define and implement AI solutions.