Senior AI Engineer
Listed on 2025-12-18
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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.
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!
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, Lang Graph and Lang Chain 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, Dev Ops 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.
- 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 Git Hub 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 (Postgre
SQL, 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…
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