Lead 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.

Lead AI Engineer 

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 25 760 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

In addition, Bayer offers a competitive and holistic benefits package, including:

- Medical care above statutory requirements

- Flexible benefits supporting leisure, and well‑being/sports programs

- Life, accident, and disability insurance through group coverage

- Employer‑supported pension plans with regular company contributions

- Home office allowance to support hybrid or remote work

- Company car provided (as a working Benefit)

- Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions.

For Digital Hub Warsaw, we are looking for:

Lead AI Engineer! 

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 Solutions

• Lead design and delivery of AI/ML and agentic systems solving complex business problems.


• Build and deploy scalable AI products aligned with business goals.


• Drive adoption of cloud technologies (AWS, Azure, GCP) for ML/AI industrialization.


• Ensure reliability, scalability, and performance of AI systems in production.

Data Engineering

• Design and oversee scalable data pipelines and architectures.


• Lead data ingestion, preprocessing, and transformation across hybrid environments.


• Implement data quality, validation, and drift detection processes.

Data Science

• Guide model development, evaluation, and optimization.


• Drive experimentation and continuous improvement to enhance model performance.

Integration & Deployment

• Integrate AI solutions into existing systems and workflows.


• Oversee production deployments ensuring best practices and operational excellence.

Collaboration & Communication

• Maintain clear documentation of AI systems and processes.


• Collaborate with stakeholders to gather requirements and deliver solutions.


• Communicate complex technical concepts to both technical and business audiences.

Innovation & Leadership

• Mentor team members and support skill development.


• Stay up to date with AI trends and drive innovation.


• Conduct research to inform future AI initiatives.

WHO YOU ARE

Required:

• MSc/PhD in relevant field, or equivalent practical experience


• Experience as AI/ML Engineer with proven delivery of AI systems.


• Strong Python skills.


• Knowledge of agentic frameworks (e.g., LangChain, crew.ai).


• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).


• Exposure to NLP, CV, and broader AI techniques.


• Experience with cloud platforms (preferably AWS) and ML services (e.g., SageMaker).


• Strong analytical, problem-solving, and communication skills.


• Experience in Agile environments.

Preferred:

• AI/ML/cloud certifications (e.g., AWS ML, Azure AI Engineer)

 WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

Location:

Poland : Mazowieckie : Warszawa  

Division:

Enabling Functions 

Reference Code:

873189