Senior Data Scientist / AI Engineer

Job Title : Senior Data Scientist / AI engineer

Team :  AI experimentation and execution (New Department)

Seniority : Senior

Location :  Warsaw, Poland 🌎

Type :  Full-time

Type of contract : B2B

About the project📝

At Sanoma Learning, we believe in the transformative potential of AI. That’s why we’ve recently established a new department :   AI Experimentation & Execution .

This team is dedicated to developing early-stage AI prototypes to explore innovative solutions and accelerate experimentation across our organization.

Role responsibilities

div class="ReactFieldEditor-core display ReactFieldEditor-TextMultiLine" tabindex="0" role="textbox" aria-readonly="true" aria-label="Role responsibilities, The Senior Data Scientist / AI Engineer will play a critical role in advancing AI experimentation at Sanoma Learning. Reporting to the Senior Director, Head of Data and AI, this position is designed for a senior technical expert who can lead the development of advanced AI solutions – from ideation through PoC / MVP and into productization. The role involves building scalable prototypes (especially LLM-based and agentic systems), translating business ideas into technical solutions, and working in close collaboration with cross-functional teams, including product owners, project managers, architects, analysts, and operating companies stakeholders. Beyond hands-on work, this role is expected to coach junior colleagues, embed best practices, and help raise the AI maturity across the organization. Key Responsibilities

• Design, develop, and deploy PoCs and MVPs using cutting-edge AI techniques, with a strong focus on Generative AI, including LLMs, and agent-based architectures.
• Translate business challenges into well-scoped AI use cases and deliver end-to-end prototypes in collaboration with product and experimentation teams.
• Work hands-on across the stack – from data ingestion and model development to orchestration, deployment, and monitoring.
• Implement retrieval-augmented generation (RAG) pipelines connected to Sanoma Learning content and multi-step reasoning workflows for practical enterprise use.
• Optimize performance and scalability through techniques like prompt tuning, caching, and efficient inference.
• Establish engineering and MLOps best practices, including versioning, CI / CD pipelines, testing, and cloud-native deployment.
• Ensure AI solutions meet data privacy and compliance standards, working closely with legal and security teams.
• Coach junior team members, foster AI engineering best practices, and help build internal capability across Sanoma Learning.
• Contribute to internal knowledge sharing, including documentation, workshops, and reusable component libraries.
• Stay current with AI research and tooling, evaluating emerging technologies and integrating them into experimentation workflows where relevant. , press enter to edit.">

The Senior Data Scientist / AI Engineer will play a critical role in advancing AI experimentation at Sanoma Learning. Reporting to the Senior Director, Head of Data and AI, this position is designed for a senior technical expert who can lead the development of advanced AI solutions – from ideation through PoC / MVP and into productization.

The role involves building scalable prototypes (especially LLM-based and agentic systems), translating business ideas into technical solutions, and working in close collaboration with cross-functional teams, including product owners, project managers, architects, analysts, and operating companies stakeholders.

Beyond hands-on work, this role is expected to coach junior colleagues, embed best practices, and help raise the AI maturity across the organization.

Key Responsibilities

Must-have requirements

div class="ReactFieldEditor-core display ReactFieldEditor-TextMultiLine" tabindex="0" role="textbox" aria-readonly="true" aria-label="Must-have requirements, Education

Education

Master’s or PhD in Computer Science, Machine Learning, AI, Data Science, Engineering, or a related technical field.

Additional certifications in cloud engineering (e.g., AWS / GCP), MLOps, or GenAI tooling are an advantage.

Experience

5+ years of hands-on experience in data science, AI engineering, or applied machine learning roles.

2+ years of experience with Generative AI.

Proven experience delivering production-ready PoCs and MVPs with LLMs, transformers, or agentic architectures.

Hands-on work with retrieval-augmented generation (RAG) systems and vector databases.

Strong background in cloud-native development (AWS, GCP, Azure), containers (Docker, Kubernetes), and orchestration tools (Airflow, Prefect).

Experience implementing LLM evaluation and testing frameworks.

Familiarity with data governance and compliance in AI deployments (e.g., GDPR, EU AI Act).

Strong track record in mentoring, technical coaching, and / or building internal communities of practice.

Previous experience in edtech or publishing is a plus.

Skills

Deep understanding of transformer-based models, prompt engineering, and generative AI workflows.

Strong programming skills in Python, with experience using frameworks like LangChain, LangGraph, OpenAI API.

Expertise in retrieval systems, embedding generation, and vector search integration.

Competence in building agentic pipelines, integrating tools and services for complex task resolution.

Strong command of MLOps principles, CI / CD, and infrastructure as code (IaC) for deploying and maintaining scalable systems.

Ability to evaluate model performance using a combination of quantitative and qualitative techniques.

Excellent communication skills and the ability to collaborate across product, business, and technical teams.

Self-driven, pragmatic, and excited by the challenge of building real-world AI solutions that deliver tangible value.

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 at the full working proficiency (B2 / C1 level).