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.

 

Your tasks and responsibilities:

 

 AI Solution Development

Collaborate with cross-functional teams to design and develop innovative machine learning models and algorithms 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 machine learning models and AI solutions for deployment in production environments.Provide operational support and guidance for machine learning models and algorithms, 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 hybrid environments (both on-premises and cloud).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 training 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.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.

 

Who are you:

 

 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 3 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, or other AI techniques.Familiarity with big data technologies (Hadoop, Spark) 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)

 

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:849845   

 

 

Location:

Poland : Mazowieckie : Warszawa  

 

Division:

CH 

 

Reference Code:

849845