Senior NLP Engineer

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 large-scale models, and a problem-solving mindset geared towards delivering high-quality, efficient solutions.

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 large-scale projects
Experience with knowledge graphs, entity recognition, and concept extraction technologies
Strong coding skills in relevant programming languages (e.g., Python) and familiarity with NLP libraries and frameworks
Demonstrated ability to work effectively in a fast-paced, dynamic environment, managing multiple projects simultaneously
Excellent problem-solving skills, with a keen eye for detail and a commitment to high-quality outcomes
Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical 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
Upper-Intermediate+

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 state-of-the-art 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

Advantages of Working with Exadel

About Tetracode

Tetracode is a team of software engineers with business background that transform the vision of startups and established businesses into market-ready products through comprehensive MVP development solutions.

Why do we do what we do?
We've launched startups, some of them succeed, some of them not but lessons learned and its a high time to share what we’ve got and help others to succeed with higher probability.

Why do we think we can?
We have a track record of cases that not only raised funds but also delighted their audience after achieving product-market fit.

Whom do we serve the best?
Startup founders who aim to swiftly test their hypotheses with a competitive MVP.
Startup founders who prefer not to hire and manage an in-house team of developers.
Startup founders with lack of tech expertise or absence of tech co-founder.
Startup founders who want to avoid risks to fail because of technical architecture issues and low ability to scale in case of a pivot.

What is the end result for our customer?
Straightforward answer – We specialise in delivering exceptional MVP development services to drive business success.
With deep industry knowledge and technical expertise, we define your product vision, prioritise core features, and establish milestones. Our team is led by C-level experts who translate your idea into the ultimate project setup. Our team streamlines your journey and accelerates time to market through comprehensive MVP development solutions.
Through rapid prototyping, user testing, and continuous feedback loops, we craft an MVP with scalable infrastructure. This is how we create captivating MVPs that resonate with your target audience and generate valuable feedback and business metrics.
Tetracode is excellent in web, and mobile development, product design, cloud deployment, business analysis, project specification, project management, and technical partner support for early-stage startups.

Company website:
https://tetracode.io