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  We are looking for a Senior AI Engineer! A Senior AI Engineer leads the design, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role have extensive experience with machine learning models, natural language processing, computer vision, or other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver AI solutions that drive business value. YOUR TASKS AND RESPONSIBILITIES:   AI Solution Development Lead the design and development of innovative agentic systems, machine learning models, and algorithms in cross-functional teams to effectively address specific business challenges. Lead the implementation of scalable AI products, ensuring alignment with user requirements and strategic business objectives. Leverage state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to optimize the industrialization of AI and machine learning (ML) models for production deployment. Provide expert operational support and guidance for agentic systems and machine learning models, ensuring their reliability and performance in production environments.  Data Engineering Lead the architecture and design of robust, scalable data pipelines in collaboration with data engineers, cloud engineers, and data scientists, enhancing data access and processing capabilities. Lead data preprocessing, ingestion, and transformation activities across hybrid environments (both on-premises and cloud), ensuring adherence to best practices and organizational standards. Establish and promote advanced data quality assurance processes, including validation checks and proactive data drift detection mechanisms, to ensure data consistency and integrity.  Data Science Mentor and guide team members in the system evaluations and model training, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements. Lead the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities.  Integration and Deployment Lead the integration of AI components into existing software systems and workflows, ensuring seamless functionality and optimal user experience. Direct the deployment of AI solutions into production environments, implementing best practices for version control, architecture, monitoring, and ongoing maintenance.   Collaboration and Communication Maintain comprehensive documentation of Agentic AI systems, ML models, algorithms, solution architecture and processes to ensure transparency and facilitate knowledge sharing within the team. Engage proactively with team members and stakeholders to gather requirements, provide insights, and deliver effective AI solutions that align with project goals. Communicate complex AI concepts and project results effectively to both technical and non-technical stakeholders, fostering understanding, collaboration, and informed decision-making.  Research and Innovation Stay abreast of emerging AI trends, technologies, and methodologies, actively contributing to the enhancement of team capabilities and innovation. Conduct research and experimentation to explore new AI techniques and approaches, providing strategic insights that can inform future projects and initiatives.   WHO YOU ARE: Required:  Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 5 years experience. Proven experience as an AI Engineer, Machine Learning Engineer, or similar role. Experience in developing and deploying machine learning models and AI systems. Proficiency in Python Strong knowledge of agentic frameworks (LangChain, pydantic-ai, strands, crew.ai). Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with natural language processing (NLP), computer vision, or other AI techniques. Familiarity with cloud platforms (AWS (preferably), Azure, Google Cloud) Strong analytical skills and the ability to work with complex datasets. Excellent problem-solving skills with a focus on developing innovative AI solutions. Excellent verbal and written communication skills. Ability to work collaboratively in a cross-functional team environment. Strong organizational skills and the ability to manage multiple AI projects simultaneously. Experience with Agile methodologies and tools (Azure DevOps, Scrum).  ​Preferred: ​Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals)  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  Increased tax-deductible costs for authors of copyrighted works VIP Medical Care Package (including Dental & Mental health) Life & Travel Insurance Pension plan Co-financed sport card - FitProfit Meals Subsidy in Office  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    WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158