Machine Learning Engineer

Posted 4 Days Ago
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Prague, CZE
In-Office
Mid level
Software
The Role
Designs, builds, and deploys production-ready ML and LLM systems focused on NLP, entity extraction, and document classification. Owns end-to-end ML pipelines (training, inference, evaluation, monitoring), optimizes models for production constraints, integrates models into products and workflows, and collaborates on architecture and dataset strategy with cross-functional teams.
Summary Generated by Built In

We’re 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 work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments.

Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale.

The Machine Learning Engineer / Applied AI Engineer designs, builds, and deploys production-ready AI systems that transform business requirements into scalable, reliable, and high-quality machine learning solutions. This role is responsible for the full lifecycle of ML and LLM-based solutions- from problem formulation and model training to optimization, deployment, and continuous improvement in production. The focus is on NLP, entity extraction, document classification, and LLM-powered automation across multiple business domains.

WHAT YOU'LL DO

  • Design and implement ML and deep learning models for discovery and classification use cases, including entity extraction and document classification.
  • Integrate LLMs and ML models into products and automated workflows, delivering measurable improvements in quality and automation.
  • Define model training strategies and collaborate on dataset requirements and design.
  • Build and maintain end-to-end ML pipelines covering training, inference, evaluation, monitoring, and iterative model improvement.
  • Optimize models and inference pipelines for production constraints, including latency, cost, throughput, and infrastructure efficiency.
  • Deploy, operate, monitor, and improve ML systems in production environments.
  • Translate business challenges into ML system designs and technical trade-offs.
  • Contribute to architectural decisions and the technical direction of applied AI solutions.
  • We are primarily an in-office environment and therefore, you will be expected to work from the Pregue office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

  • Experience delivering machine learning models into production and improving them over time.
  • Hands-on experience developing NLP and text-based machine learning systems, including LLM-assisted workflows.
  • Proficiency in Python and machine learning frameworks such as PyTorch, Hugging Face Transformers, spaCy, or similar.
  • Experience implementing ML pipelines to support model training, evaluation, monitoring, deployment, and continuous improvement.
  • Ability to design clean, modular, and maintainable ML solutions in a collaborative environment.
  • Experience collaborating with software engineers, product managers, and business stakeholders.
  • Strong communication skills and the ability to explain machine learning concepts and system behavior clearly.

#LI-ONSITE

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 Fortune's Best Workplaces in Technology™, Fortune's 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 purebenefits.com 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 [email protected] if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s 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.

Skills Required

  • Delivering machine learning models into production and improving them over time
  • Hands-on experience developing NLP and text-based machine learning systems, including LLM-assisted workflows
  • Proficiency in Python
  • Experience with ML frameworks such as PyTorch and Hugging Face Transformers
  • Experience with spaCy or similar NLP tooling
  • Implementing and maintaining end-to-end ML pipelines for training, inference, evaluation, monitoring, and deployment
  • Ability to design clean, modular, and maintainable ML solutions and collaborate with software engineers and stakeholders
  • Strong communication skills to explain ML concepts and system behavior
  • Work on-site from the Pregue office (in-office requirement)

Everpure Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everpure and has not been reviewed or approved by Everpure.

  • Equity Value & Accessibility Equity and stock purchase programs are described as meaningful parts of total compensation, with RSUs and an ESPP highlighted as strengths.
  • Strong & Reliable Incentives Sales compensation is structured to support long sales cycles, including policies that pay full commission until the first sale for new or white‑space accounts.
  • Healthcare Strength Health coverage is portrayed as comprehensive, with multiple medical options, fully covered vision, dental PPO choices, mental‑health resources, and company HSA contributions.

Everpure Insights

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The Company
HQ: Santa Clara, CA
4,090 Employees
Year Founded: 2009

What We Do

Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment. One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximize the value of their data for competitive advantage. And with a Satmetrix-certified NPS customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.

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