AI Developer

Atos is hiring an AI Developer in Wroclaw, Poland. Level rates it ; you can apply on Atos.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
Level classes it as a senior role.
Atos has 609 other open roles on Level.
Posted within the past week.

AI in this role

pytorchtensorflowscikit-learn

rag

About Atos Group

Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Are you passionate about building the future with Artificial Intelligence? Do you want to be at the forefront of innovation?

At Atos, we are expanding our capabilities and establishing a center of excellence for Data & AI. We are looking for a motivated AI Developer to join our dedicated team of specialists. In this role, you will not just analyze data; you will be a key player in developing and scaling our AI solutions, directly impacting our products and strategic decisions. This is a unique opportunity to grow with us and shape the future of AI within our organization.

Key Responsibilities:

Develop AI/ML Solutions: Design, build, and deploy end-to-end machine learning models to solve complex business challenges (e.g., classification, regression, clustering, forecasting).
Data Exploration & Analysis: Proactively identify opportunities in large datasets, perform exploratory data analysis, and generate actionable insights to guide business strategy.
Collaboration & Innovation: Work closely with a team of data engineers, AI specialists, and business stakeholders to define project requirements and deliver robust, data-driven solutions.
Communicate Insights: Translate complex findings into clear, concise language and compelling visualizations for both technical and non-technical audiences.
Model Lifecycle Management: Take ownership of the entire model lifecycle, from prototyping and validation to deployment, monitoring, and continuous improvement.

Technical Requirements:

Experience: A solid track record with at least 2 years of commercial experience with AI and at least 5+ years of commercial experience in a Data Scientist or similar role.
Programming Skills: Strong proficiency in Python and its core Data Science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
Experience with Retrieval-Augmented Generation (RAG) techniques
Database Proficiency: Fluency in SQL with hands-on experience querying relational (e.g., PostgreSQL) and non-relational (e.g., MongoDB) databases.
Machine Learning: A strong theoretical understanding and practical application of machine learning algorithms and best practices.
Data Visualization: The ability to create impactful data visualizations using tools like Matplotlib, Power BI or Tableau.
Essential Tools: Experience with version control systems (Git) and development environments like Jupyter Notebooks/JupyterLab.
Cloud Experience (Bonus): Familiarity with a major cloud platform (AWS, GCP, Azure) is a significant advantage.

Language Skills:

B2/C1 English: mandatory

What's in it for you?

Courses and certifications (e.g., Google Cloud, AWS, ITIL)
Wellbeing programs & work-life balance - integration and passion-sharing events
Private medical and dental care
Family-friendly offices: Supporting working parents
Benefits platform – shopping, cinema, sport, etc.
Co-funding of sport activities (e.g., Multisport & OK system cards, b-active program)
Conferences and expert communities
Gift packages for special occasions: Easter, Christmas, Children’s Day
Appreciation for seniority: additional days off, Atos Jubilee gifts
Charity and eco initiatives
Hybrid working mode (max. 2 times per month in the office, based on your location)

Your benefits could vary depending on the employment contract type.

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.

How we rate this

AI Developer at Atos rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Developer is an open job at Atos.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Wroclaw.
The job was posted on October 15, 2026.
Seniority: senior.
Applications are handled by Atos. Apply on Atos

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGPyTorchTensorFlowscikit-learn

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: RAG, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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