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Senior AI Engineer Miejsce pracy: Warszawa Technologies we use Operating system Windows About the project Are you ready to make a significant impact in the world of AI? We are seeking a talented Senior AI Engineer to become a vital part of our dynamic Data Assets, Analytics and AI Platform at Bayer Consumer Health. In this role, you will play a pivotal role in implementing global, cutting-edge AI solutions across commercial, product supply, marketing, and R&D domains. Our diverse, international team, spanning Poland and Germany, is dedicated to managing the entire product life cycle – from proof of concept to the seamless operation of fully industrialized products. We pride ourselves on delivering innovative solutions that leverage traditional Machine Learning, Generative AI, and Mathematical Optimization, all powered by a modern tech stack featuring Python, Azure/AWS and Databricks. If you’re passionate about driving data-driven decision-making and AI driven process automation and eager to collaborate with a forward-thinking team, we want to hear from you! Your responsibilities Participates in industrialization and scaling up of successful advanced analytics & AI solutions prototypes into IT products. Develops generalized frameworks, components, patterns and libraries for repetitive data science activities and AI workflows. Manages code in Github repositories and performs peer code reviews. Build and deploy production-ready AI systems using Python, LangGraph and LangChain on Azure or AWS cloud platform. Architect and implement AI agents to support marketing, commercial, product supply and R&D processes in Consumer Health organization. Contribute to architectural decisions, including framework and technology stack selection. Collaborate effectively within a cross-functional environment, working alongside: Data Scientists, MLOps Engineers, DevOps Engineers, Data Architects, Cloud Architects, Product Managers and Business Stakeholders to ensure AI solutions align with and drive business objectives. Support industrialization of classical machine learning solutions, like forecasting, recommendation and optimization models. Fosters a culture of continuous learning within the data science & AI engineering team, taking active part in workshops and training sessions to share knowledge and skills. Acts as a subject matter expert in software development and AI engineering, advising on best practices and emerging technologies that can enhance Bayer Consumer Health’s AI capabilities. Our requirements Masters or PhD degree with 5 years of experience in AI Engineering, Software Engineering, Computer Science or Machine Learning Engineering. Advanced Python programming skills and web development expertise. Experience with web frameworks, particularly Flask, FastAPI, or Django. Good understanding of CI/CD principles, especially GitHub Actions. Proficiency with Azure cloud services, specifically: Azure Apps, Azure Containers, Azure Storage and/or respective AWS cloud services. Docker containerization expertise. Experience with relational databases (PostgreSQL, MS SQL). Strong object-oriented programming skills with focus on production-grade code. General understanding of: Large Language Models, Retrieval-Augmented Generation, AI agent architectures. Demonstrated experience in AI agent system design and implementation. Strong API development and integration capabilities. Interest in GenAI technologies such as: vector databases, information retrieval methods, and LLM response evaluation frameworks. Nice to have: experience with Infrastructure as Code (IaC) solutions (Terraform, ARM Templates). Preferred: Hands-on experience with AI frameworks and tools e.g.: LangChain, LangGraph. Problem solving and analytical skills. Interpersonal and communication skills, active listening, consulting, challenging, presentation skills. Fluent in English, both written & spoken. This is how we organize our work This is how we work in house What we offer A flexible, hybrid work model Great workplace in a new modern office in Warsaw Career development, 360° Feedback & Mentoring programme Wide access to professional development tools, trainings, & conferences Company Bonus & Reward Structure VIP Medical Care Package (including Dental & Mental health) Holiday allowance (“Wczasy pod gruszą”) Life & Travel Insurance Pension plan Co-financed sport card - FitProfit Meals Subsidy in Office Additional days off Budget for Home Office Setup & Maintenance Dedicated working Zone with state-of-the art Lab available only for Cyber Security Team Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs Tailored-made support in relocation to Warsaw when needed Benefits sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance flexible working time dental care retirement pension plan no dress code video games at work coffee / tea parking space for employees pre-paid cards employee referral program extra leave Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s). Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. kindly inform that we will only contact selected candidates. Bayer welcomes applications from all individuals regardless of race, national origin, gender, age, physical characteristics, social origin, disabilities, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager. Please send your CV in English Digital Hub Warsaw at Bayer At the Heart of the Digital Hub Warsaw at Bayer lies the agile culture and mindset. Its philosophy and principles are in our DNA and drive the growth and the heartbeat of our organization in order to build and expand the DHub across all six functional divisions: Crop Science, Cyber Security & Risk Management, Consumer Health, Pharma, Enabling Functions and Enterprise Platforms & Innovation. To allow our organization to thrive and grow we embrace a culture of open leadership, people empowerment, people development, diversity and innovation. This approach create a place where creative and innovative minds from the fields of data-science, cyber security software engineering and more, can come together, collaborate, and achieve great things. Here in Warsaw, you can think freely without entrenched hierarchical structures, artificial guidelines and boundaries - mirroring the work culture of a dynamic start-up. Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez Bayer Sp. z o.o. z siedzibą w: Al. Jerozolimskie 158, 02-326 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu. Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: katarzyna.olejniczak.ext@bayer.com.