Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Zoolatech via Indeed
OVERVIEW
RESPONSIBILITIES
REQUIREMENTS
We are hiring on behalf of our client, a global leader in the meal kit delivery industry that helps millions of customers enjoy healthy, home-cooked meals with less planning and effort.
As part of Zoolatech, you will join a team building intelligent, ML-driven experiences across the client’s digital platforms. The team is transforming traditionally static experiences into dynamic systems that power recipe recommendations, content tagging, collections, ranking, and SEO-related features.
In this role, you’ll work on production-grade ML and LLM-powered solutions that directly influence customer experience and business impact. You’ll collaborate with international teams in a fast-moving environment that values ownership, proactive communication, and the ability to turn ideas into real-world AI solutions.
•
Design and improve ML and LLM-powered solutions for content personalization and customer experiences
•
Build scalable data pipelines for processing and transforming large-scale text data
•
Develop retrieval, ranking, and recommendation systems to improve content quality and relevance
•
Design evaluation frameworks for LLM outputs, including quality, safety, and performance metrics
•
Monitor model performance and business impact through experiments, dashboards, and data analysis
•
Collaborate with cross-functional teams to translate business needs into production-ready ML solutions
•
Take ownership of features and initiatives from idea to launch
•
Strong experience with LLM evaluation frameworks, including human review, automated checks, and quality evaluation (safety, tone, factuality)
•
Solid understanding of retrieval and ranking metrics (Hit@K, Recall@K, Precision@K) and performance measurement principles
•
Strong SQL skills and experience building dashboards and analytical views in Databricks or lakehouse environments
•
Strong Python skills for scalable data pipelines and large-scale text processing
•
Experience with embeddings and semantic similarity techniques, including clustering and duplicate detection
•
Strong experimentation mindset with experience in monitoring, measurement, and model performance evaluation
•
Ability to translate ML decisions into business impact and product outcomes
•
Strong ownership, adaptability, and ability to work effectively in ambiguous environments
•
Strong communication skills and proactive approach
•
Experience with SEO and product analytics concepts
•
Experience with multilingual NLP
•
Knowledge of graph algorithms and clustering techniques
•
Experience with reranking approaches and semantic search optimization
•
LLM calibration and evaluation tuning experience
•
Hands-on experience with MLOps and production ML environments (Databricks, MLflow, batch inference, etc.)
•
Experience with content safety and governance workflows
•
Experience designing human-in-the-loop review and approval processes
Location:
Other, Central Europe
Seniority:
Senior
Technologies:
Data Science, Machine Learning
Benefits:
- Paid Vacation
- Sick Days
- Floating Holidays
- Sport/Insurance Compensation
- English Classes
- Charity
- Training Compensation
Source: Zoolatech careers (Indeed)