AI Data Trainer & AI Model Optimization Engineer
Prague - Czech Republic
Job Summary
Were in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here you lead with innovative thinking grow along with us and join the smartest team in the industry.
This type of workwork that changes the worldis what the tech industry was founded on. So if youre ready to seize the endless opportunities and leave your mark come join us.
THE ROLE
We are seeking an AI Data Trainer & AI Model Optimization Engineer to develop train validate and continuously improve AI models that power intelligent document processing entity extraction document classification and compliance automation solutions.
In this role you will build and maintain training pipelines generate and validate training datasets and optimize Small Language Models (SLMs) FastText classifiers LLM-assisted workflows and domain-specific extraction engines across regulated and data-intensive industries including Financial Services Healthcare Real Estate Insurance and Government.
This role combines data science machine learning operations (MLOps) document intelligence automation engineering and quality assurance practices to support high levels of accuracy explainability and operational performance in enterprise production environments.
WHAT YOULL DO
- Develop train and optimize AI models supporting document intelligence entity extraction document classification information retrieval and compliance automation use cases.
- Build and maintain training pipelines datasets evaluation frameworks and automated workflows that support scalable model development and continuous improvement.
- Improve and evaluate SLMs FastText classifiers LLM-assisted workflows and hybrid AI extraction solutions to meet customer and business requirements.
- Design and maintain domain intelligence frameworks that support regulated industries and compliance standards including GDPR PCI-DSS HIPAA SOC 2 and related requirements.
- Establish model quality metrics and validation processes using performance insights to improve accuracy explainability and operational effectiveness.
- Analyze production behavior investigate model performance issues and collaborate with Product Engineering and Customer Success teams to implement improvements.
- Create and maintain documentation covering training methodologies evaluation approaches model behavior and explainability frameworks.
- We are primarily an in-office environment and therefore you will be expected to work from the Prague office in compliance with Everpures policies unless you are on PTO or work travel or other approved leave.
WHAT YOU BRING
- Experience working with NLP document intelligence information retrieval or machine learning systems.
- Experience developing training evaluating or optimizing machine learning models including classification extraction retrieval or LLM-based workflows.
- Strong Python development skills and experience working with machine learning frameworks data processing pipelines and model evaluation approaches.
- Experience with model training data annotation dataset management MLOps practices or AI lifecycle automation.
- Understanding of modern AI technologies such as transformer models embedding models SLMs LLMs RAG architectures or prompt engineering techniques.
- Experience working with data quality testing validation or model performance measurement frameworks.
- Strong analytical communication and problem-solving skills with the ability to collaborate across technical and business teams.
NICE TO HAVE
- Intelligent Document Processing (IDP) platforms.
- OCR document understanding semantic search or enterprise content management systems.
- Cloud-based AI platforms such as Azure AI AWS AI or Google AI.
- Explainable AI frameworks and model governance practices.
- Regulated industries and compliance-focused AI solutions.
- AI observability automated testing vector databases or production AI operations.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically like a challenge and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortunes Best Workplaces in Technology Fortunes Best Workplaces in the Bay Area and certified as a Great Place to Work!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work we offer a variety of perks to manage a healthy balance including flexible time off wellness resources and company-sponsored team events. Check out for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this contact us at if youre invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
Were forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isnt just accepted but embraced. Thats why we are committed to fostering the growth and development of every person cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Required Experience:
IC
About Company
Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expan ... View more