Python AI Engineer

Posted:
12/17/2025, 1:48:05 PM

Location(s):
Budapest, Hungary ⋅ Budapest, Budapest, Hungary

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Who we are

Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries.

Accenture globally has ranked 4th on the Great Place to Work® World’s Best Workplaces™.

About the Role

We are seeking to our team in Budapest a Python AI Engineer

Python AI Engineer
 

About the Role

We are seeking a highly experienced Python AI Engineer to help design, develop, and deploy scalable, production-grade AI and ML solutions. In this role, you will take ownership of AI systems from prototype stage through to production, work closely with cross-functional teams (data scientists, product managers, software engineers, business stakeholders), and contribute to shaping our AI/ML strategy and roadmap.

As a senior engineer on our team, you will be responsible for turning cutting-edge ML/AI models into robust, maintainable, and efficient applications that deliver real business value. You’ll also mentor more junior engineers, introduce best practices, and help steer architectural decisions and infrastructure.

What You’ll Do — Key Responsibilities

  • Design & implement AI/ML solutions

    • Build end-to-end ML/AI pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, deployment and monitoring

    • Develop AI-powered applications and services using Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

    • Work on advanced AI use cases — from classical ML to deep learning, NLP, computer vision, or generative AI / LLM-based solutions depending on business needs

  • Production-grade software engineering & AI deployment

    • Write clean, modular, well-tested Python code for AI services; ensure code quality, maintainability, and reliability.

    • Package and deploy ML/AI services via microservices or APIs (e.g. RESTful APIs), leveraging containerization (e.g., Docker) and cloud or on-prem infrastructure.

    • Define, build, and maintain MLOps pipelines: CI/CD for models and services, automated testing & validation, version control, model serving, monitoring and lifecycle management

  • Architecture, scalability & performance

    • Architect scalable, robust, and maintainable ML/AI systems — including data pipelines, model serving, inference services, and integration with other business systems.

    • Optimize model performance (training & inference), resource usage, latency, and reliability — ensuring AI systems meet production-grade standards

Required / Must-Have:

  • 5+ years (or more) experience in software engineering / AI / ML development, with a strong track record of building and deploying production ML/AI systems

  • Expert-level Python programming skills, and comfortable writing production-grade, maintainable, performant code.

  • Strong hands-on experience with ML frameworks and libraries (e.g. PyTorch, TensorFlow, scikit-learn) — with the ability to design, train, evaluate, and deploy ML models

  • Solid understanding of software engineering best practices, modular architecture, OOP/functional programming, testability, version control, and deployment strategies

  • Excellent collaboration and communication skills — able to work across teams, liaise with stakeholders, and translate complex technical topics into business-relevant language

What we offer for you

  • Participation in full-cycle and diverse international projects

  • Opportunity to work as a specialist or manager/team lead

  • Constant career development with internal mentorship

  • Access to a whole set of learning platforms, paid certifications

  • Flexible working conditions, home working is allowed

  • Attractive base salary & Wide range of benefits included cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing