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.

 

Principal AI Engineer 

 

For Digital Hub Warsaw, we are looking for:

Principal AI Engineer

A Principal AI Engineer has complete oversight of AI Engineering within a platform. Individuals in this role leverage their extensive proficiency of machine learning models, natural language processing, computer vision, and other AI technologies to set direction, define strategy and architectural best practices, build organizational capability, and champion the role of AI Engineering in driving business priorities.

 

Key Tasks & Responsibilities:

AI Solution Development

Drive the strategic vision for AI Engineering, leading cross-functional teams in the design, architecture and implementation of cutting-edge machine learning models and algorithms to tackle complex business challenges.Lead or oversee the development and deployment of scalable AI products, ensuring they align with organizational goals and deliver measurable value.Champion the use of state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to enhance and promote the industrialization and operationalization of machine learning models and AI solutions across the organization.Provide expert guidance and mentorship on the operational support of machine learning models and algorithms, ensuring their reliability, performance, and scalability 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 initiatives in 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 comprehensive data quality assurance processes, including validation checks and data drift detection mechanisms, to ensure data consistency and integrity.

Data Science

Mentor and guide team members in the model training process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements.Lead the evaluation and tuning of models, utilizing comprehensive metrics and performance benchmarks to refine algorithms and enhance predictive capabilities, ensuring alignment with business objectives.

Integration and Deployment

Lead the integration of AI models into existing software systems and workflows, ensuring seamless functionality, performance, and optimal user experience.Direct the deployment of AI solutions into production environments, defining and implementing architecture best practices to ensure operational excellence

Collaboration and Communication

Maintain comprehensive documentation of AI 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 and organizational strategy.Communicate complex AI concepts and results effectively to both technical and non-technical (senior) stakeholders, fostering understanding, collaboration, and informed decision-making.

Research, Innovation and Empowerment

Act as a leader or technical specialist, providing detailed support and guidance within the organization and helping colleagues to develop skillsDrive initiatives to 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

 

Qualifications & Competencies (education, skills, experience):

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 10 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 programming languages such as Python or RStrong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with natural language processing (NLP), computer vision, and other AI techniques.Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud)Experience with industrializing machine learning and AI use cases utilizing cloud-native services (AWS SageMaker, Azure ML)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 Machine Learning or Solutions Architect, Azure AI Engineer)

 

What do We offer:

A flexible, hybrid work modelGreat workplace in a new modern office in WarsawCareer development, 360° Feedback & Mentoring programmeWide access to professional development tools, trainings, & conferencesCompany Bonus & Reward StructureVIP Medical Care Package (including Dental & Mental health)Holiday allowance (“Wczasy pod gruszą”)Life & Travel InsurancePension planCo-financed sport card - FitProfitMeals Subsidy in OfficeAdditional days offBudget for Home Office Setup & MaintenanceAccess 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 chairsTailored-made support in relocation to Warsaw when neededPlease 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.
Bayer respects and applies the Whistleblower Act in Poland.

     Location:Poland : Mazowieckie : Warszawa    Division:  CH Reference Code:851270   

 

 

Location:

Poland : Mazowieckie : Warszawa  

 

Division:

CH

 

 

Reference Code:

851270