Senior NLP Engineer/Large Language Model Architect

Bulgaria, Georgia, Hungary, Lithuania, Poland, Romania, Spain, Uzbekistan

Exadel

Advance your business through technology and pave the way to becoming a digital leader with Exadel, an enterprise software development and consulting company.

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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 toward delivering high-quality, efficient solutions.

Work at Exadel - Who We Are

Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,800+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success and are at the core of our values.

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 Customer`s 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 large-scale 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 fast-paced, dynamic environment, managing multiple projects simultaneously
  • Keen eye for detail and a commitment to high-quality outcomes
  • 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

Transparent Career Roadmap

  • The HR manager accompanies each employee on their first steps in the company and assists them in achieving future professional goals
  • Exadel is a global company with 30+ offices in 15+ countries. Employees have the chance to discover new places to live and work and can transfer to any location that has an Exadel production office. The HR manager and the Global Mobility specialist accompany the employee and assist throughout the relocation process
  • Your career growth is in your hands, so each Exadeller decides when to level up and initiate performance assessments. The management team supports career planning and the discovery of new tech stacks and languages

Learning & Development Opportunities

  • Each Exadeller is given a $1,000 yearly budget for self-education, which includes certifications, training sessions, meetups, conferences, and educational materials
  • Employees participate actively and benefit from the knowledge-sharing environment across seven practice units: Digital Marketing Technologies, Content Marketing, AI, QA, QAA, Agile, and DevOps
  • Employees can find recordings from meetups and trainings on Exadel’s Internal Learning System

Work & Life Balance

  • Each Exadeller is in charge of managing their workflow independently without being micromanaged at every step; it is, however, important that an employee always attends meetings, logs their time, and meets deadlines
  • Operating from the office, or remotely, depends on which mode the employee prefers. Hybrid or remote mode staff will receive the necessary equipment before their first working day. For those who prefer to work in office, the office network  offers up-to-date equipment, good facilities, and a warm collaborative environment
  • The team meets at two annual team-building events across locations; in addition, there are team events such as Pizza Days, Programmer’s Day, informal meetups, board game parties, and sports initiatives

Employee Perks & Bonuses

  • The Exadel referral program covers all regions and involves recognition for hired recommended professionals. Depending on the location and the position, an employee receives a monetary bonus for recommending a candidate to Exadel who ends up being hired
  • Employees collect coins for numerous project activities, exchanging them for products or services of their choice available on the Exadel store
  • Volunteers for mentoring, interviewing, performing assessments, and participating in community meet-ups, get additional monetary bonuses
  • Location-dependent, Exadellers can access benefit platforms with vouchers for online stores, medical insurance reimbursement, sports membership fees, vacations, and childbirth bonuses
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Computer Science Data pipelines DevOps Elasticsearch Engineering Linguistics LLMs ML models Model deployment Model training NLP Pharma Pipelines Prompt engineering Python Research SageMaker

Perks/benefits: Career development Conferences Salary bonus Startup environment Team events

Regions: Asia/Pacific Europe North America
Job stats:  22  8  0

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