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

We are looking for an AI Engineer!

An AI Engineer engages in the design, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role have good experience with machine learning models, natural language processing, computer vision, or other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver AI solutions that drive business value.

YOUR TASKS AND RESPONSIBILITIES:

1. AI Solution Development
2. Design and develop machine learning models, algorithms, and AI systems.
3. Implement and optimize AI models for performance and scalability.
4. Data Management and Preprocessing
5. Collect, preprocess, and analyze large datasets to build effective AI models.
6. Ensure data quality and integrity through rigorous data validation processes.
7. Model Training and Evaluation
8. Train, test, and validate AI models to ensure accuracy and reliability.
9. Perform model evaluation and tuning to improve performance metrics.
10. Integration and Deployment
11. Integrate AI models into existing systems and applications.
12. Deploy AI solutions into production environments and monitor their performance.
13. Collaboration and Communication
14. Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.
15. Communicate complex AI concepts and results to non-technical stakeholders.
16. Research and Innovation
17. Stay updated with the latest AI trends, technologies, and best practices.
18. Conduct research to explore new AI methodologies and applications.
19. Documentation and Reporting
20. Document AI models, processes, and workflows.
21. Prepare reports and presentations on AI project status, results, and impacts.

WHO YOU ARE:

Required:

1. Educational Background
2. Bachelor’s degree in Computer Science, Data Science, or a related field is required. A Master’s degree is a plus.
3. Experience
4. 3+ years of experience in AI/ML roles with the required skills.
5. Deep Learning & Transformer Architecture
6. Basic understanding of neural networks and their applications.
7. Familiarity with transformer architecture and its use cases.
8. Exposure to multi-modal diffusion architectures is a good-to-have.
9. LLM Development & Implementation
10. Hands-on experience in building and fine-tuning large language models (LLMs) for various applications, including:
11. Document comparison and chunking.
12. Retrieval-Augmented Generation (RAG).
13. Chatbot and NLP-based applications.
14. Experience with embedding models and vector database integration (e.g., FAISS, Pinecone, AWS OpenSearch).
15. Multi-Agent & Rules-Based AI Implementation
16. Ability to implement rules-based AI logic in applications.
17. Experience in developing multi-agent AI systems with orchestration.
18. Familiarity with tools like LangChain, LangGraph, and LlamaIndex (GPT Index) for chaining multiple LLM workflows.
19. AI Tools & Libraries
20. Strong knowledge of AWS AI services, such as Amazon Bedrock and SageMaker.
21. Hands-on experience with Hugging Face, OpenAI API, and GPT models.
22. Cloud & DevOps (AWS Focused)
23. Experience in deploying AI models using AWS services like Fargate, EKS, and ECS.
24. Familiarity with implementing CI/CD pipelines for AI models using AWS CodeBuild, CodePipeline, and Lambda Functions.
25. Basic experience with containerized AI services using Docker and Kubernetes.
26. Model Deployment & API Integration
27. Hands-on Python experience with at least one AI project delivered from inception to production.
28. Experience in API development and integration, including REST APIs, GraphQL, and AWS API Gateway.
29. Ability to reuse and customize GitHub-based AI repositories for production use.

Preferred Qualifications:

1. Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals).
2. Experience with multi-modal architectures and advanced AI techniques.
3. Understanding of AI ethics and governance practices.
4. Familiarity with Agile methodologies and project management tools.

WHAT DO WE OFFER:

1. A flexible, hybrid work model
2. Great workplace in a new modern office in Warsaw
3. Career development, 360° Feedback & Mentoring programme
4. Wide access to professional development tools, trainings, & conferences
5. Company Bonus & Reward Structure
6. Increased tax-deductible costs for authors of copyrighted works
7. VIP Medical Care Package (including Dental & Mental health)
8. Life & Travel Insurance
9. Pension plan
10. Co-financed sport card - FitProfit
11. Meals Subsidy in Office
12. Budget for Home Office Setup & Maintenance
13. 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
14. Tailored-made support in relocation to Warsaw when needed
15. Please send your CV in English

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

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!

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.