PwC

AI Engineer – Python, GenAI, Machine Learning

PwC

full-time

Posted on:

Location Type: Office

Location: BratislavaSlovakia

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Salary

💰 €2,200 per month

About the role

  • 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.

Requirements

  • 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.
  • 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.
Benefits
  • 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.
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonpandasnumpyscikit-learnplotlyGenerative AINLPComputer VisionML model developmentSQL
Soft Skills
analytical thinkingindependenceleadershipmentorship