Zapisz Powrót do wyników wyszukiwania Opis stanowiska Streszczenie Podobne oferty Dodano 08/06/2026Hybrid ModelBuild cutting-edge AI and LLM-powered productsO naszym kliencieThe employer is a large organisation operating within the professional services industry, known for delivering innovative solutions to its clients. It is committed to fostering a culture of excellence and providing its employees with opportunities to grow and thrive in their careers.Opis stanowiskaBuild and deploy ML and AI systems serving millions of records dailyWork with NLP, embeddings, vector search, classification, ranking, similarity models, and LLM-powered featuresDevelop and improve model evaluation frameworks and testing pipelinesBuild and maintain vector embedding and retrieval systemsPartner with Data Scientists to improve data quality and ground-truth datasetsDesign scalable MLOps solutions including monitoring, observability, versioning, and drift detectionTranslate business problems into measurable AI features and outcomesCollaborate closely with Engineering, Data Science, and Product teamsHelp shape the future of AI-powered products and featuresTechnologies: Python, Machine Learning, NLP, LLMs, Vector Embeddings, Vector Search & Retrieval, Classification Models, NER, Ranking & Similarity Models, AWS and/or GCP, MLOps, Model Monitoring, Model Evaluation Frameworks, Ground Truth Pipelines, Data Annotation WorkflowsProfil kandydata4-7 years of Software Engineering or Machine Learning Engineering experience2+ years deploying ML systems into production environmentsStrong Python programming skillsExperience with modern ML and AI ecosystemsHands-on experience with AWS or GCP cloud platformsExperience building and deploying NLP, ML, embedding, or LLM-based solutionsUnderstanding of model evaluation, precision/recall, golden datasets, and regression testingExperience working with large-scale production systemsStrong communication and collaboration skillsAbility to work closely with Data Science, Engineering, and Product teamsOferujemyPeople: work with talented, collaborative, and friendly people who love what they do.Guidance: utilize our learning platform to fully get the training and tools you'll need to become successful here from your first day with us.Surprise meal stipends: work from home can't stop the enjoyment of someone else making a meal for you!Work/life harmony: 26 days vacation, floating and set holidays, wellness allowance, and paid parental leave.Medical insurance, life insurance, and business travel insuranceStock options as part of our equity-sharing program.Comprehensive perks program providing stipends for cell phone and internet, home office setup, mental wellness, professional development and tuition reimbursement, plus occasional company-funded meal opportunities throughout the year.KontaktDawid ZienkiewiczNumer referencyjnyJN-062026-7034773Szczegóły ofertySektorInformatykaObszarRozwój systemów ITBranżaTechnology & TelecomsLokalizacjaWarszawaRodzaj umowyStałaTwoja aplikacja trafi doDawid ZienkiewiczNumer referencyjnyJN-062026-7034773
