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.
Lead AI Engineer
We are looking for a Lead AI Engineer!
A Lead AI Engineer champions the architecture, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role leverage extensive knowledge of large language models, machine learning, natural language processing, computer vision, and other AI technologies to solve complex business challenges and foster collaboration across the organization.
YOUR TASKS AND RESPONSIBILITIES: AI Solution Development Lead cross‑functional teams in the design, architecture and implementation of cutting‑edge agentic systems, machine learning (ML) 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 operationalisation of machine learning models and AI solutions across the organization.
Provide expert guidance and mentorship on the operational support of agentic systems and machine learning models, 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 system evaluation and model training, focusing on industrialisation 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 components into existing software systems and workflows, ensuring seamless functionality, performance, and optimal user experience.
Direct the deployment of AI solutions into production environments, implementing architecture best practices to ensure operational excellence. 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 and organisational 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 organisation and helping colleagues to develop skills.
Drive 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. 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 7 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 (Lang Chain, pydantic‑ai, strands, crew.ai).
Strong knowledge of machine learning frameworks (Tensor Flow, Py Torch, Scikit‑learn).
Experience with natural language processing (NLP), computer vision, and other AI techniques.
Familiarity with cloud platforms (AWS (preferably), Azure, Google Cloud).
Experience with industrialising machine learning and AI use cases utilizing cloud‑native services (AWS Sage Maker, 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 organisational skills and the ability to manage multiple AI projects simultaneously.
Experience with Agile methodologies and tools (Azure Dev Ops, 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 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.
Company car or car allowance.
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 – Fit Profit.
Meals Subsidy in Office.
Budget for Home Office Setup & Maintenance.
Access to Company Game Room equipped with table tennis, soccer table, Sony Play Station 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:
Bayer, Warszawa, Poland – Al. Jerozolimskie 158
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: Enabling Functions
Reference Code: #J-18808-Ljbffr
