Senior AI Engineer
Senior 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 20 240 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:
Senior AI Engineer
Senior 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
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 Infrastructure as Code (e.g. Terraform, Cloud formation). Preferably Terraform + AWS
- 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)