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Job Description
Key Responsibilities:
· Develop and deploy advanced NLP models to solve complex problems.
· Design and lead large-scale NLP projects, including setting technical direction, defining requirements, and managing project timelines.
· Analyze large and complex datasets using statistical and machine learning techniques, with a focus on NLP.
· Collaborate with cross-functional teams to design and implement NLP solutions that meet business requirements.
· Develop and maintain NLP infrastructure, including data pipelines and model deployment pipelines.
· Evaluate the performance of NLP models and provide recommendations for improvement.
· Stay up to date with the latest developments in NLP research and apply them to improve existing models.
· Manage and mentor junior data scientists, providing guidance on technical and professional development.
· Present findings and insights to senior stakeholders in a clear and concise manner
· Contribute to thought leadership in the field of NLP through publications and conference presentations.
Requirements:
· PhD or Master's degree in Computer Science, Statistics, or a related field, with a focus on NLP
· At least 4 years of experience in developing and deploying NLP models in real-world scenarios.
· Expertise in statistical and machine learning techniques for NLP, including deep learning approaches such as Transformers and BERT
· Strong programming skills in Python and experience with relevant libraries (e.g., spaCy, NLTK, Transformers, PyTorch)
· Experience with cloud-based platforms (e.g., AWS, GCP, Azure)
· Knowledge of data engineering concepts (e.g., ETL pipelines, SQL)
· Experience with data analysis and visualization tools (e.g., pandas, Tableau)
· Strong leadership and mentorship skills
· Excellent written and verbal communication skills
· Strong attention to detail and ability to work in a fast-paced environment.
· Experience with open-source NLP frameworks (e.g., Hugging Face, AllenNLP)
· Experience with speech recognition or natural language generation
· Experience with data privacy and security considerations in NLP applications
· Experience with Large Language models (LLMs) will be preferred
Education Requirements:
· Required: Bachelors degree with at least 4-7 years industry experience
· Preferred: Advanced degree (MS, PhD) in a quantitative science or health field (e.g., computational biology, epidemiology, biostatistics, statistics, mathematics, physics, economics)
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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