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Employment type in the employer’s posting: Part timeFrom the employer’s posting
Job title: AI/MLOps Internship Program (She/He/They)
Build backends, pipelines and user-facing interfaces for Data & AI projects
Set up parametrized infrastructure defined as code
Build Generative AI solutions with cross-functional teams
Use AI tools in daily engineering work while keeping project standards high
Take part in client-facing discussions and business decisions
writing backends, pipelines and user-facing interfaces
setting up a parametrized infrastructure defined as code
You will collaborate with cross-functional teams to identify and build Generative AI solutions
embed artificial intelligence into you daily engineering practices
you will step into a client-facing role, actively contributing to business decisions
Active student status and availability of at least 30 hours per week
Basic knowledge of Python, SQL and common best practices for software development
Foundational understanding of cloud concepts and containerization
Familiarity with popular data tools such as Pandas, PyTorch, or scikit-learn
Communicative level of English and Polish
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.
In the employer’s words · Read in context
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Day 71
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
202 open jobs
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- Active student status and availability of at least 30 hours per week. - Basic knowledge of Python, SQL and common best practices for software development. - Foundational understanding of cloud concepts and containerization.
- Ambitious projects for the most prestigious clients in the world. - The opportunity to gain hands-on experience working with popular frameworks and technologies such as Docker, Terraform, AWS, FastAPI, LangChain, Spark and more. - Career development based on a culture of feedback and constant support from a mentor, a clear path of development from the first day of work and help from a buddy during the onboarding.
- Foundational understanding of cloud concepts and containerization. - Familiarity with popular data tools such as Pandas, PyTorch, or scikit-learn. - Openness to feedback coupled with the willingness to improve.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
WHO WE ARE:
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. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.
Data & AI is one of Accenture’s fastest‑growing areas, where we design and deliver practical business solutions powered by advanced analytics, machine learning, and Generative AI. Our teams work with modern technologies, combining strong engineering skills with real business impact.
An internship at Accenture offers hands‑on experience, learning from experienced engineers and consultants, and the opportunity to contribute to innovative GenAI‑based projects for global clients
Poland | Let There Be Change | Accenture
THE WORK:
At the Data & AI team, our engineers operate across varied technical environments solving problems throughout the software development lifecycle. From coming up with the designs, through setting up a parametrized infrastructure defined as code to writing backends, pipelines and user-facing interfaces. We prioritize fundamental utility over passing industry trends, continually refining out work to eliminate unnecessary complexity. As part of your role, you will embed artificial intelligence into you daily engineering practices, accelerating delivery while maintaining strict standards for the projects involved. You will collaborate with cross-functional teams to identify and build Generative AI solutions. Beyond technical execution, you will step into a client-facing role, actively contributing to business decisions while gaining practical experience in project management and team leadership. We are looking for versatility. People who can seamlessly adapt to new challenges and drive impactful, highly reliable solutions across the stack.
WHAT’S IN IT FOR YOU?
Paid, several-month internship program - min. 3 months, 4-5 days a week, with flexible working hours and possibility to work remotely.
A chance for long-term cooperation - there is a high probability that at the end of the internship, we will offer you a full-time job.
Ambitious projects for the most prestigious clients in the world.
The opportunity to gain hands-on experience working with popular frameworks and technologies such as Docker, Terraform, AWS, FastAPI, LangChain, Spark and more.
Career development based on a culture of feedback and constant support from a mentor, a clear path of development from the first day of work and help from a buddy during the onboarding.
HERE’S WHAT YOU’LL NEED:
PREFERABLY YOU ALSO HAVE:
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.
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Warsaw
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WHO WE ARE: 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. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. Data & AI is one of Accenture’s fastest‑growing areas, where we design and deliver practical business solutions powered by advanced analytics, machine learning, and Generative AI. Our teams work with modern technologies, combining strong engineering skills with real business impact.
More relevant text appears in the full description.