AI Developer

Our 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.
• B2/C1 English: mandatory

Your 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.

About the project

What we offer

• 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)

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• integration events
• retirement pension plan
• preferential loans
• no dress code
• coffee / tea
• parking space for employees
• extra social benefits
• christmas gifts
• employee referral program
• opportunity to obtain permits and licenses
• charity initiatives
• extra leave
• global IT projects
• new technologies
• Mental health support

Recruitment stages

• 1.
  Screening with recruiter
• 2.
  Interview - HR and technical part
• 3.
  Feedback

Atos Poland Global Services Sp. z o.o.