We are building a world-class, AI-driven B2B analytics SaaS. Built from scratch as a core product, it defines a new generation of marketing analytics within Tesonet Group.
You’ll join while core architecture, data flows, and engineering principles are actively being designed, with the opportunity to take real ownership and shape how the product is built and how teams collaborate.
The platform is built around intelligent automation, real-time data processing, ML modeling, and large-scale distributed systems, with AI deeply embedded at its core. By working with complex data, we deliver a powerful self-service analytics experience that enables faster, smarter marketing decisions.
Main Responsibilities
- Build and shape tomorrow’s AI-based application, ensure scalable data and AI pipelines
- Play with cutting-edge AI tech, prototyping and experimenting with LLMs (APIs, RAG, embeddings, etc.) to elevate accuracy, insight quality, and product impact
- Turn data into value by preparing, transforming, and managing datasets that power models, features and production systems
- Work closely with different teams to get things done together, partnering with product, data science and engineering to uncover smart AI opportunities and launch them into real use
- Fine-tune our systems and existing LLMs for excellence, create and optimize prompts, workflows, and model interactions for performance and reliability
- Own quality and scale by ensuring observability, robustness, and smooth operation across distributed data + AI systems
Core Requirements
- Proven experience writing clean, reliable Python code for data processing, automation, and transformation
- Strong understanding of data engineering fundamentals: ETL/ELT workflows, orchestrating jobs (e.g., Airflow), building and querying data warehouses (e.g., BigQuery), using version control, CI/CD and Docker containers effectively
- Optional experience training your own machine learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Keras or similar tools.
- Optional experience in fine-tuning existing LLM models
- Comfort working across data plumbing and AI/model workflows, with the ability to switch between the two effectively
- Familiarity with tools like dbt, Kafka or other streaming systems and observability tooling (logs, metrics, tracing) is a plus
Salary
- Monthly gross salary is 4500 - 7100 eur/month
- We are open to discussing a different salary based on your skills, experience, and potential impact
What We Offer
- Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential
- Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best
- Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us
- More free time. Stay with us and additional vacation days will be added to your calendar
- Additional paid leave. Additional days are covered by us in cases of illness or special occasions
- Flexibility. Flexible working time arrangement
View our guidelines for AI usage during hiring process: AI guidelines
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
