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 solutionsResponsibilities:Design and improve ML and LLM-powered solutions for content personalization and customer experiencesBuild scalable data pipelines for processing and transforming large-scale text dataDevelop retrieval, ranking, and recommendation systems to improve content quality and relevanceDesign evaluation frameworks for LLM outputs, including quality, safety, and performance metricsMonitor model performance and business impact through experiments, dashboards, and data analysisCollaborate with cross-functional teams to translate business needs into production-ready ML solutionsTake ownership of features and initiatives from idea to launchStrong experience with LLM evaluation frameworks, including human review, automated checks, and quality evaluation (safety, tone, factuality)Solid understanding of retrieval and ranking metrics ( , , ) and performance measurement principlesStrong SQL skills and experience building dashboards and analytical views in Databricks or lakehouse environmentRequirements:Strong Python skills for scalable data pipelines and large-scale text processingExperience with embeddings and semantic similarity techniques, including clustering and duplicate detectionStrong experimentation mindset with experience in monitoring, measurement, and model performance evaluationAbility to translate ML decisions into business impact and product outcomesStrong ownership, adaptability, and ability to work effectively in ambiguous environmentsStrong communication skills and proactive approachExperience with SEO and product analytics conceptsExperience with multilingual NLPKnowledge of graph algorithms and clustering techniquesExperience with reranking approaches and semantic search optimizationLLM calibration and evaluation tuning experienceHands-on experience with MLOps and production ML environments (Databricks, MLflow, batch inference, etc.)Experience with content safety and governance workflowsExperience designing human-in-the-loop review and approval processesEngagement 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 employmentPlease note that only candidates whose profiles closely match our requirements will be contacted.Perks:Paid VacationSick daysFloating HolidaysSport/Insurance CompensationEnglish ClassesCharityTraining Compensation