AI 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.

AI Engineer

For Digital Hub Warsaw, we are looking for:

AI Engineer

An AI Engineer is responsible for designing, developing, and implementing artificial intelligence solutions that address specific business problems. Individuals in this role work with machine learning models, natural language processing, computer vision, and other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver effective AI solutions.

Key Tasks & Responsibilities:

AI Solution Development

• Collaborate with cross-functional teams to design and develop innovative Agentic AI solutions that address specific business challenges.
• Implement scalable AI products, ensuring they meet user requirements and business objectives.
• Utilize state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to industrialize generative AI models and AI solutions for deployment in production environments.
• Provide operational support and guidance for measuring model performance, ensuring their reliability and performance in production settings.
  
  

Data Engineering

• Partner with data engineers, cloud engineers, and data scientists to design and deliver robust, scalable data pipelines that facilitate data access and processing.
• Assist in data preprocessing, ingestion, and transformation activities across cloud environments.
• Implement and maintain data quality assurance processes, including validation checks and data drift detection mechanisms, to ensure data consistency and integrity.
  
  

Data Science

• Support the model selection process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements.
• Assist in the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities.
  
  

Integration and Deployment

• Aid in the integration of AI models into existing software systems and workflows, ensuring seamless functionality and user experience.
• Contribute to the deployment of AI solutions into production environments, following best practices for version control, architecture, monitoring, and maintenance.
  
  

Documentation and Reporting

• Maintain comprehensive documentation of AI models, algorithms, and processes to ensure transparency and facilitate knowledge sharing within the team.

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• Prepare and present regular reports on AI project status, outcomes, and insights to stakeholders, highlighting key findings and recommendations for future work.
  
  

Collaboration and Communication

• Engage with team members to gather requirements, provide insights, and deliver effective AI solutions that align with project goals.
• Communicate complex AI concepts and results in a clear and concise manner to non-technical stakeholders, fostering understanding, collaboration, and informed decision-making
  
  

Research and Innovation

• Stay abreast of emerging AI trends, technologies, and methodologies to contribute to team capabilities.
• Conduct research and experimentation to explore new AI techniques and approaches, providing insights that can inform future projects.
  
  

Qualifications & Competencies (education, skills, experience):

• Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 3 years experience.
• Proven experience as a Data Scientist, AI Engineer, Machine Learning Engineer, or similar role.
• Experience in applying and deploying generative AI models and AI systems.
• Proficiency in programming languages such as Python
• Strong knowledge of Agentic AI frameworks (LangChain, PydanticAI, etc.).
• Experience with natural language processing (NLP), computer vision, or other AI techniques.
• Familiarity with vector database technologies (pgvector, Qdrant) and cloud platforms (AWS, 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)
  
  

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What do We offer:

• A flexible, remote-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
• 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

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: 851299

Location:

Poland : Mazowieckie : Warszawa

Division:

CH

Reference Code:

851299