NLP Engineer
Design and develop state-of-the-art NLP and AI solutions for medical applications, focusing on clinical knowledge resources. Maintain production systems and collaborate with engineering teams to enhance NLP modules and functionality.
10 NLP Engineer jobs available for remote work from home. Apply for positions such as NLP Engineer, AI Research Engineer - NLP, AI Research Engineer - NLP and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and develop state-of-the-art NLP and AI solutions for medical applications, focusing on clinical knowledge resources. Maintain production systems and collaborate with engineering teams to enhance NLP modules and functionality.
Design, develop, and evaluate advanced AI safety assessment systems with a focus on LLMs and NLP. Conduct research on incident reports and publish findings in peer-reviewed conferences and journals.
The AI Research Engineer designs and evaluates safety assessment systems for large language models and NLP algorithms. This includes conducting literature reviews, coding text analytics, and publishing research results in peer-reviewed journals.
Design and implement NLP and LLM-driven pipelines to extract regulatory logic and rules from complex CMS documentation. Develop and productionize automated workflows using Python and enterprise tools like UiPath and Power Automate.
Architect and build new features for the Noodle Learning Platform, including database schemas and REST endpoints. Collaborate with product and engineering teams to translate wireframes into pixel-perfect frontend components and refine technical requirements.
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The role involves developing and maintaining robust, scalable backend applications, primarily focusing on building REST APIs and designing automated workflows using tools like Apache Airflow. Responsibilities also include thorough documentation of code and technical processes.
The main responsibilities include developing and maintaining robust, scalable backend applications, specifically focusing on building REST APIs and designing/managing automated workflows using Apache Airflow. The role also requires thorough documentation of code and technical processes.
The AI/ML Engineer will design and build a hybrid rule-based and machine learning system to map contractor text into a 4-tier SAP catalog hierarchy. Responsibilities include implementing anomaly detection, creating a model feedback loop for operator corrections, and wrapping the model as a microservice.
The intern will participate in the development of LLM-based applications, including Q&A systems, agents, and algorithmic workflows. They will also assist with prompt engineering, model fine-tuning, and data management tasks.
Design, build, and operate end-to-end batch and incremental ETL/ELT pipelines to transform raw data into production-grade APIs and dashboards. Collaborate with cross-functional teams to translate intelligence requirements into scalable products while ensuring data quality and reproducibility.
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