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