Senior AI Engineer @ Bayer

1 day ago

Warszawa, Czech Republic Bayer Full time
  • 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, 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
  • Preferred: experience with Infrastructure as Code (IaC) solutions (Terraform, ARM Templates)
  • Preferred: Hands-on experience with AI frameworks and tools e.g.: Lang Chain, Llama Index
  • Problem solving and analytical skills
  • Interpersonal and communication skills, active listening, consulting, challenges, presentation skills
  • Fluent in English, both written & spoken

For Digital Hub Warsaw, we are looking for:


Senior AI Engineer 

Are you ready to make a significant impact on 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 

,[Participates in industrialization and scaling up 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 Lang Chain 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] Requirements: Python, AI, Django, Azure Cloud, PostgreSQL, GitHub, CI/CD, API Tools: GitHub. Additionally: Sport subscription, Training budget, Private healthcare, Lunch card, International projects, Free coffee, Canteen, Bike parking, Playroom, Free snacks, Free beverages, Free parking, In-house trainings, Modern office.

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