At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Senior AI Engineer
Senior AI Engineer
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 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!
Key tasks and 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 and LangChain on Azure cloud platform.
- Architect and implement AI agents to support marketing, brand building and market analysis processes in Consumer Health organization, and in the future in other functional areas (e.g. product supply, commercial, R&D).
- Contribute to architectural decisions, including framework and technology stack selection.
- Collaborate effectively within a cross-functional environment, working alongside: Data Scientists, MLOps 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.
Qualifications & competencies:
- Master's 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.
- Docker containerization expertise.
- Experience with relational databases (PostgreSQL, MySQL).
- 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.
- Preferred: experience with Infrastructure as Code (IaC) solutions (Terraform, ARM Templates).
- Preferred: Hands-on experience with AI frameworks and tools e.g.: LangChain, LlamaIndex.
- Problem solving and analytical skills.
- Interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
- Fluent in English, both written & spoken.
What do 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
- 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
- Please send your CV in English
You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection
WORK LOCATION: WARSAW AL.JEROZOLIMSKIE 158
| YOUR APPLICATION | ||||
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, 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. | ||||
| Location: | Poland : Mazowieckie : Warszawa | |||
| Division: | CH | |||
| Reference Code: | 843339 | |||
Location:
Poland : Mazowieckie : Warszawa
Division:
CH
Reference Code:
843339
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