Machine Learning Engineer
Your role
Machine Learning Engineer, working in the ML/AI team, under the Data and AI organisation.What you'll be doing
Machine Learning Engineer
What We Need
Corpay is currently looking to hire a Machine Learning Engineer within our IVP Data & AI division. This position is located in Prague.
In this role, you will make a meaningful impact while working in a supportive and collaborative environment. You will be part of Corpay's IVP Data & AI team, working alongside Data Scientists, ML/AI Engineers, Data Engineers, and Data Analysts. This role is ideal for someone who values innovation, collaboration, and continuous learning.
You will work closely with cross-functional teams and business leaders to drive strategic decision-making across multiple regions, including the UK, Europe, Australia, and New Zealand. We believe in empowering our employees to grow their skills while leveraging machine learning expertise to solve key business challenges. Corpay offers a culture where your contributions are recognized and valued.
How We Work
As a Machine Learning Engineer, Corpay will set you up for success by providing:
Assigned workspace in Prague office
Company-issued equipment
Formal, hands-on training
About Us
We are a global technology organization leading the future of commercial payments with a culture of innovation. Our payment solutions help businesses control, simplify, and secure payments for fuel, general payables, toll, and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.
Role Responsibilities
The responsibilities of the role will include:
Collaborate with cross-functional teams including ML Engineers, Data Scientists, Data Engineers, Data Analysts, and business stakeholders to understand business requirements and develop impactful solutions.
Develop and deploy machine learning models for batch-based data products as well as real-time ML/AI services in cloud-based environments (AWS, Azure, etc.).
Create MLOps automation processes utilizing ETL data pipelines to improve model performance and efficiency in data collection and preparation.
Drive and advocate best practices and architecture in ML/LLM Ops.
Document analytical processes, methodologies, and findings to ensure clarity, reproducibility, and knowledge sharing across teams.
Qualifications & Skills
Master's degree in a STEM field (Computer Science, Machine Learning/AI, Physics, Engineering, or similar).
Minimum 3+ years of experience delivering measurable business value by building and deploying production-scale machine learning models.
Excellent understanding of modern state-of-the-art ML and LLM-enabled pipelines, including hybrid architectures of ML models and agentic workflows.
Strong practical experience with ML and data science frameworks including PyTorch, NumPy, Pandas, scikit-learn, SciPy, XGBoost, and similar.
Strong SQL skills for complex data analysis.
Excellent Python programming skills.
Experience with AWS Redshift and version control systems such as Git/GitLab.
Experience building production ML solutions using ETL pipelines (AWS Glue, EMR, Airflow) and automated retraining with benchmarking and evaluation.
Excellent communication skills with the ability to translate technical findings into business insights.
Ability to manage multiple priorities in a fast-paced environment.
Self-motivated, detail-oriented, and passionate about delivering high-quality solutions.
Would Be Great If You Have
PhD in a STEM field.
Experience within financial services or another commercial environment.
Experience with AWS Bedrock, Ray RLlib, vLLM, Apache Spark, or similar technologies.
Experience with Reinforcement Learning frameworks such as Gym, OpenRLHF, Stable Baselines, or PyTorch RL.
Experience with FastAPI, Starlette, or similar API frameworks for AI/ML applications.
Passion for keeping up with the latest AI/ML research and experimenting with state-of-the-art models.
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 1,440,000 - Kč 1,800,000 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.
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.