Data Scientist / AI engineer

Sanoma Learning; Warszawa; Remote; PLN 211,000 - 297,000; Full time

Job summary

A leading European learning company is seeking a Data Scientist / AI Engineer to advance AI experimentation remotely. The role focuses on building prototypes using Generative AI and large-language models, contributing to a team dedicated to innovative educational technologies. Applicants should have a strong background in AI engineering, excellent programming skills, and a collaborative mindset.

Benefits

B2B contract for an indefinite period

Work-life balance

Professional development opportunities

Flexible working environment

Qualifications

• 3–5 years of hands-on experience in AI engineering or applied data science.
• Experience developing PoCs or MVPs using Generative AI techniques.
• Familiarity with RAG systems and vector databases.
• Understanding of compliance requirements such as GDPR.

Responsibilities

• Design and develop PoCs and MVPs using modern AI techniques.
• Contribute to the Content Consumption Layer team development.
• Collaborate with product teams to translate business ideas into AI prototypes.
• Build retrieval-augmented generation (RAG) pipelines.
• Ensure compliance with data privacy standards.

Skills

Solid understanding of transformer-based models

Proficiency in Python

Familiarity with vector databases

Strong analytical thinking

Good communication skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Sanoma Learning is a leading European learning company serving over 20 million students in 11 countries. We offer printed and digital learning materials, digital platforms for primary, secondary, and vocational education, and extensive educational technologies and pedagogical expertise. Our Technology organization hosts the largest cross‑cultural community of Sanoma Learning, driving digital transformation and the future of education in Europe.

This role is for a Data Scientist / AI Engineer (Content Consumption Layer) who will advance AI experimentation at Sanoma Learning. Reporting to the Senior Director of Data & AI, the position focuses on building prototypes (PoCs/MVPs) using Generative AI and large‑language models.

Key Responsibilities

• Design and develop PoCs and MVPs using modern AI techniques, with focus on Generative AI, LLMs, and agent‑based systems.
• Contribute to the Content Consumption Layer team development
• Collaborate with product and experimentation teams to translate business ideas into AI prototypes.
• Work across the technical stack – from data preprocessing to model implementation, orchestration, and deployment.
• Build retrieval‑augmented generation (RAG) pipelines leveraging Sanoma Learning’s proprietary content.
• Apply prompt optimization and performance tuning to ensure efficient model usage and optimize costs
• Contribute to MLOps practices including model versioning, CI/CD, and testing pipelines.
• Ensure compliance with data privacy standards in close collaboration with security and legal teams.
• Document solutions and share learnings, contributing to internal best practices and experimentation infrastructure.
• Stay up to date with the evolving AI ecosystem and bring in relevant tools and techniques.

Must‑have Requirements

Education

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering, or a related technical field.
• Relevant certifications in AI/ML, cloud platforms, or MLOps are a plus.

Experience

• 3–5 years of hands‑on experience in AI engineering, machine learning, or applied data science roles.
• Experience developing PoCs or MVPs using LLMs, transformers, or related GenAI techniques.
• Familiarity with RAG systems and vector databases
• Exposure to cloud‑native tools and infrastructure (e.g., AWS, GCP, Azure), Docker/Kubernetes, and orchestration tools like Airflow or Prefect.
• Experience implementing or adapting LLM evaluation frameworks is a plus.
• Understanding of compliance and governance requirements (e.g., GDPR, responsible AI practices).
• Prior exposure to EdTech or publishing is beneficial but not required.

Skills

• Solid understanding of transformer‑based models and prompt engineering techniques.
• Proficiency in Python and experience with libraries such as LangChain, LangGraph, or OpenAI/Anthropic APIs.
• Familiarity with vector databases, embedding pipelines, and chunking strategies.
• Ability to develop agentic workflows and multi‑step AI task execution.
• Working knowledge of MLOps, version control, and model deployment pipelines.
• Strong analytical thinking and experimentation mindset.
• Comfortable working in agile, cross‑functional environments, with good written and verbal communication skills.
• Curious, adaptable, and eager to learn and implement new technologies in a fast‑evolving space.

Personal Attributes

• Data‑driven decision‑making approach
• Proactive and positive can‑do attitude, demonstrating initiative and resilience.
• Strong organizational skills, adept at managing multiple tasks simultaneously.
• Self‑motivated, consistently seeking opportunities for improvement and innovation.
• Passionate about opportunities in Data and AI space
• English proficiency for everyday work

Location

100% remote work

What We Offer

• B2B contract for an indefinite period
• Work‑life balance and great atmosphere
• Opportunities for professional development through interesting tasks
• As an employer, Sanoma offers a working environment where you are able and encouraged to show your best self.
• The working environment is result‑oriented as well as flexible with a focus on collaboration.
• We offer you a key position with interesting and challenging tasks and excellent opportunities for professional growth. You will be part of a highly professional and experienced international team in an open and informal setting, where initiative is expected and rewarded.