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 Responsibilities: - 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 environment Requirements: - 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 Engagement Model: Direct Independent Contractor (Please read carefully) This is an independent contractor opportunity based on a direct contractual relationship between Zoolatech and the individual service provider. To facilitate this direct partnership, we engage with professionals who are registered and operate as a sole proprietorship, private entrepreneur, or an equivalent self-employment status in your country. Please note, our model does not accommodate contracts through third-party intermediaries such as agencies, incubators, or umbrella companies. The essential requirement is your ability to enter into a service agreement and invoice Zoolatech directly. This is not an offer of direct employment Please note that only candidates whose profiles closely match our requirements will be contacted. Perks: - Paid Vacation - Sick days - Floating Holidays - Sport/Insurance Compensation - English Classes - Charity - Training Compensation