Job Description & Summary
Join PwC Slovakia as an AI Engineer, where you will lead and contribute to AI and data science solutions for leading global clients. This role is open for candidates based in Slovakia and is part of the long‑term growth of PwC Slovakia.
Our AI team is expanding rapidly — in the last 6 months alone, we’ve welcomed more than 20 new colleagues, and we’re continuing to grow. This role is not a replacement; we are scaling the team because we have a strong pipeline of AI projects.
This role is designed for experienced developers and engineers who want to architect, build, and deploy machine learning systems and data-driven applications at scale. We are looking for candidates who are strong in Python, confident working with data, and capable of turning complex business challenges into reliable, production-ready AI solutions — while engaging directly with clients across Western Europe and the USA.
On top of the broader AI profiles, we’re also looking specifically for Microsoft + Azure AI experts—hands-on engineers with Python and ideally Azure AI Foundry experience—who want to build production-grade AI solutions with global impact.
AI Solution Development: Innovate and develop cutting-edge AI and ML solutions with a strong focus on Python-based implementation, spanning areas such as generative AI, classical machine learning, computer vision, and data analysis.
Project Involvement: Engage actively in AI and data science projects from conception to deployment, contributing to solution design and codebase while ensuring timely delivery.
Client Collaboration: Work directly with clients across Western Europe and the USA, understanding their needs and providing expert guidance and tailored solutions.
Learning & Development: Stay at the forefront of AI and data science trends, learning new approaches, and contributing to improvements of existing solutions and processes.
Mentorship: Support the growth of junior team members by sharing knowledge and guiding them in project involvement and technical skills.
Programming Skills (Key Requirement): Solid programming skills in Python (e.g. pandas, numpy, scikit-learn, plotly). Ability to write and understand code is essential. Experience with other programming languages is a plus.
AI/ML Experience: Demonstrated hands-on experience in projects involving Generative AI, NLP, Computer Vision, or ML model development and deployment. The focus is on building and implementing solutions, not only using AI tools. Strong foundations in statistics and ML fundamentals are valued.
Professional Background: At least 2 years of relevant professional experience.
Database Expertise: Proficient in SQL databases; familiarity with NoSQL databases is an advantage.
Analytical Thinking: Strong analytical mindset with the ability to approach problems logically and creatively.
Independence & Leadership: Demonstrated ability to deliver impactful results independently while guiding project components and mentoring others.
Language Skills: English at B2 level or higher.
Natural Language Data Exploration: Develop dashboards powered by GenAI for intuitive business data analysis.
Document Interaction: Design tools enabling seamless interaction with unstructured and structured text documents.
Knowledge Assistant: Implement ERP transformation with GenAI tools to resolve employee inquiries efficiently.
Agricultural Monitoring: Utilize Computer Vision for analyzing satellite imagery on a large scale.
Automated Reconciliation: Create systems to identify anomalous transactions in accounting ledgers.
Sample solution: https://urbanheatreport.sk.pwc.com/
Conference presentation: https://www.youtube.com/watch?v=v3epaKs2piA
Team profile: https://jobs-cee.pwc.com/sk/sk/solvers-of-pwc-adam-knaze
Thought leadership: https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html
Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.
Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.
Career Development: Engage in tailored internal and external training programs as well as structured career development plan.
Health & Well-being: Access premium benefits such as Multisport card or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.
Supportive Culture: Participate in team building activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.
Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.
Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.
Salary: From 2 000 - 3 400 EUR/month
(For candidates with many years of experience, the salary is negotiable based on experience and proven seniority.)
Contract type: Full-time
Start date: By agreement
Information about the selection process:
At PwC, we believe in nurturing your career, supporting your health and wellness, and recognizing your dedication. Join our team and experience a workplace that values you beyond your work hours.
If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.
You can find the data privacy announcement here: https://pwc.to/2s8n2tn
If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html
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