Senior NLP Engineer Large Language Model Architect

We seek an experienced Senior NLP Engineer/Large Language Model Architect to lead the development and optimization of our NLP projects. The ideal candidate will be instrumental in refining our large language models particularly focusing on areas such as pharmaceutical SOPs and research contexts. This role requires a deep understanding of NLP principles practical experience in deploying largescale models and a problemsolving mindset geared toward delivering highquality efficient solutions.

About the Customer

The Customer makes health digital by empowering clients to deliver their digital health products and solutions through premium services. The history of the customer started as a boutique IT company in 2008 in less than 3 years it grew to become a leading IT company with 100 employees serving clients from around the globe across several verticals. Today the Customers company is the digital health lab that aims to improve and save lives today through technology.

Requirements:

• Advanced degree in Computer Science Artificial Intelligence Linguistics or a related field

• Extensive experience in NLP with a strong portfolio of projects involving large language models

• Proficiency in using platforms such as Hugging Face Sinequa and Amazon SageMaker for model deployment and refinement

• Solid understanding of model training tuning and refinement techniques with proven success in applying these to largescale projects

• Experience with knowledge graphs entity recognition and concept extraction technologies

• Coding skills in relevant programming languages (e.g. Python) and familiarity with NLP libraries and frameworks

• Demonstrated ability to work effectively in a fastpaced dynamic environment managing multiple projects simultaneously

• Keen eye for detail and a commitment to highquality outcomes

• Ability to convey complex technical concepts to nontechnical stakeholders

Nice to Have:

• Experience in the pharmaceutical or research sectors with an understanding of SOPs and compliance requirements

• A pragmatic approach to project management avoiding magical solutions and focusing on tangible results

• The flexibility to adapt to changing project needs and the ability to guide teams through technical challenges

• A team player attitude with experience working in or leading multidisciplinary teams

English level

UpperIntermediate

Responsibilities

• Design develop and refine large language models to meet specific project requirements ensuring high quality and efficiency

• Lead the transition and optimization of NLP models from platforms like Solr and Elasticsearch to Sinequa and Amazon SageMaker

• Develop and implement strategies for prompt engineering model refinement and training pipelines to enhance model performance

• Collaborate with internal teams and stakeholders to understand project needs providing expert guidance and NLP architectural advice

• Manage the integration of knowledge graphs into NLP models to improve contextual understanding and output relevance

• Evaluate and utilize stateoftheart embedding vectors and encoding methods to ensure optimal model performance

• Oversee the concept extraction and entity recognition processes ensuring integration with existing knowledge graphs and data pipelines

• Guide the team in the expansion and refinement of taxonomies using large language models followed by human review for tagging accuracy

• Drive the adoption of best practices in NLP model development deployment and maintenance staying abreast of the latest industry trends and research

Location:Bulgaria Georgia Hungary Lithuania Poland Romania Spain Uzbekistan