Machine Learning Engineer

Posted 3 Hours Ago
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Prague, CZE
Hybrid
960K-1M Annually
Junior
Fintech • Software • Financial Services
The Role
Build, deploy, and support production-scale machine learning and AI solutions, including predictive models, LLM applications, chatbots, voicebots, RAG systems, and agentic workflows. Develop ML pipelines, data pipelines, APIs, and integration layers; operate workloads in cloud and OpenShift environments; apply software engineering, CI/CD, monitoring, testing, and documentation practices. Collaborate with data scientists, engineers, product teams, and stakeholders to resolve issues and deliver reliable ML capabilities.
Summary Generated by Built In
Your roleWhat you'll be doing

What We Need 


Corpay is currently looking to hire a Machine Learning Engineer within our International Vehicle Payments division. This position falls under our Vehicle Payments line of business and is located in Prague, Czechia. As a Machine Learning Engineer, you will help build, deploy, and support ML and AI solutions used across the business, from predictive and statistical models through to LLM-powered applications. You will work closely with Data Scientists and Engineering teams to turn models and prototypes into reliable, scalable

applications and services. On the AI side, you will help develop LLM-powered and conversational AI applications, including chatbots, voicebots, RAG-based solutions, and agentic AI workflows. You will report to a Senior Machine Learning Engineer and regularly collaborate with Data Science,

Software Engineering, Data Engineering, Product, and other technology teams across the business.


How We Work 


As a Machine Learning Engineer you will be expected to work from our Prague office. Corpay will set you up for success by providing: 

  • Assigned workspace in our Prague office
  • Company-issued equipment
  • Formal, hands-on training

Role Responsibilities 


  • Build, productionise, and support ML and AI solutions.
  • Develop reusable ML workflows covering data preparation, training, validation, deployment, and
  • inference.
  • Build LLM-powered applications, including chatbots, voicebots, RAG-based solutions, and agentic AI
  • workflows.
  • Work alongside Data Scientists to turn experimental models and prototypes into production-ready
  • solutions.
  • Develop and maintain data pipelines supporting ML workloads.
  • Deploy and operate ML and AI workloads in our cloud and OpenShift environments.
  • Create APIs and integration layers that make ML capabilities available to applications and internal
  • systems.
  • Apply Software Engineering best practices: version control, automated testing, code review, CI/CD, and
  • documentation.
  • Monitor production ML and AI solutions for reliability, performance, data quality, and model
  • behaviour.
  • Collaborate with Data Engineering, Software Engineering, Product, and other technology teams on ML
  • and AI delivery.
  • Investigate and resolve technical issues across ML pipelines and applications.
  • Document technical solutions and communicate findings and implementation decisions to technical
  • and non-technical stakeholders.

Qualifications & Skills 

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, ora related technical field.
  • 2+ years of experience delivering measurable business value by building and deploying production-scale machine learning models.
  • Solid Python programming skills and experience with common data and ML libraries (pandas, NumPy,scikit-learn).
  • Good understanding of ML concepts and the ML development lifecycle.,
  • Experience using SQL for querying and working with data.
  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
  • Experience with Git and collaborative software development workflows.
  • Understanding of core Software Engineering practices: modular design, testing, APIs, and code quality.
  • Familiarity with containerisation and running containerised workloads (Docker; we deploy onOpenShift day to day).
  • Familiarity with CI/CD concepts and automated deployment processes.
  • Strong problem-solving skills and a willingness to learn new technologies.
  • Strong communication skills and a collaborative mindset.

Benefits & Perks

  • We provide all team members with 25 vacation days (pro-rated)
  • 3 sick days
  • 2 free days, that you could take after using up all your vacation time
  • 2 Volunteer days
  • Variable system of benefits: 15 600 CZK per annum, which you could use for Multisport, Retirement insurance contributions, or Cafeteria benefits account
  • Massages in the workplace – Corpay covers half of the price
  • Special pricing offer for T-Mobile tariff for personal use
  • Gift for a wedding or registered partnership
  • Gift for life jubilees and work milestones
  • Referral bonuses
  • Birthday breakfast
  • Sports activities for our employees
  • Online educational courses
  • Fresh fruit in the office every Tuesday
  • Christmas party

Pay Transparency

The salary range for this position is Kč 960,000 - Kč 1,320,000 gross per year. The final offer will be determined based on objective, gender-neutral criteria including relevant skills, professional experience, and qualifications. Corpay maintains structured compensation practices and regularly reviews pay to support compliance with equal pay principles and applicable EU legislation. Additional compensation elements, including benefits and variable pay (if applicable), will be discussed during the recruitment process.


#LI-Hybrid

#LI-KM1


About Corpay

About Corpay

 

Corpay is a global technology organization that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.

At Corpay, we are committed to fostering an inclusive and respectful workplace where employees are valued for their diverse perspectives, experiences, and contributions. We believe that diversity, equity, and inclusion strengthen our teams, drive innovation, and support our continued success globally.

As part of our hiring process, offers of employment may be subject to the successful completion of pre-employment screening conducted by an authorized third-party provider, in accordance with applicable laws and Corpay policies. Screening requirements may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.

Notice to Recruitment Agencies and Search Firms: Corpay does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place. Any unsolicited candidate submissions will become the property of Corpay, and no fees will be paid related to such submissions.

Learn more about Corpay: https://www.corpay.com

 

Transparency & Compliance

 

Equal Opportunity Employer

Corpay is committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, marital status, genetic information, military or veteran status, or any other characteristic protected by applicable law. Corpay is committed to fostering an inclusive workplace where individuals are respected and valued for their diverse perspectives, experiences, and contributions. If you require reasonable accommodation during any part of the application or interview process, please notify a representative of the Human Resources Department.


Use of Artificial Intelligence in Hiring

Corpay may use artificial intelligence (AI) and other technology-enabled tools to support certain aspects of the recruitment process, such as application screening, candidate assessment, or interview scheduling. These tools are designed to enhance efficiency, consistency, and fairness throughout the hiring process. AI tools do not make final hiring decisions. All employment decisions involve human review. Corpay is committed to the responsible use of AI, including appropriate oversight and safeguards designed to support fair and unbiased outcomes.


Candidate Privacy Notice

For information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: https://www.corpay.com/privacy-policy.


Pay Philosophy

Corpay is committed to fair, equitable, and transparent compensation practices. Compensation decisions are based on objective, job-related factors including skills, experience, qualifications, and market benchmarks. Where required by applicable law, salary or compensation ranges will be included in the job posting or provided prior to the interview process, where required by applicable law. Additional compensation elements such as bonuses, incentives, benefits, or variable pay may apply where applicable.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
  • 2+ years of experience building and deploying production-scale machine learning models that deliver measurable business value
  • Solid Python programming skills and experience with pandas, NumPy, and scikit-learn
  • Understanding of machine learning concepts and the ML development lifecycle
  • Experience using SQL for querying and working with data
  • Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP
  • Experience with Git and collaborative software development workflows
  • Understanding of modular design, testing, APIs, and code quality practices
  • Familiarity with containerization and containerized workloads, including Docker and OpenShift
  • Familiarity with CI/CD concepts and automated deployment processes
  • Strong problem-solving skills and willingness to learn new technologies
  • Strong communication skills and a collaborative mindset

Corpay Compensation & Benefits Highlights

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

  • Healthcare Strength Medical, dental, and vision coverage is offered through multiple plan options alongside employer‑paid life, AD&D, and short/long‑term disability, with HSA/FSA and EAP access expanding support. Core coverage is presented as comprehensive with the employer covering a large share of costs.
  • Leave & Time Off Breadth PTO, paid sick days, paid holidays, bereavement leave, military leave, and options for extended leave are provided, and some teams encourage using generous time off. Parental leave and adoption assistance add family‑focused flexibility.
  • Strong & Reliable Incentives Sales and senior individual‑contributor roles show strong total‑earnings potential via commission/OTE. Excellent pay is attainable in certain quota‑carrying positions.

Corpay Insights

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The Company
HQ: Atlanta, Georgia
6,981 Employees

What We Do

Corpay (NYSE: CPAY) is a global leader in business payments and expense management, providing a range of solutions that streamline accounts payable, manage expenses, and handle international transactions in ways that no other provider can rival. From vehicle payments and lodging to corporate cards, AP automation, and international payments, Corpay simplifies every aspect of business spending. With cutting-edge technology, global expertise, and reliable support, Corpay is your trusted partner for saving time, reducing costs, and protecting against fraud.

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