Job Description

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.

GenAI and LLM Operations Engineer

We are seeking a dynamic and innovative  GenAI and LLM Operations Engineer to play a crucial role within our global supply chain organization. In this position, you will lead the charge in delivering AI-powered digital solutions that generate substantial business value across diverse geographies. By combining advanced technical expertise with strategic insight, you will ensure the seamless integration of cutting-edge AI technologies into our supply chain operations, enabling a transformative impact on our processes.

In this transformative role, you will revolutionize supply chain operations by embedding AI into key decision-making processes, enabling predictive insights, and facilitating automation at scale. Your contributions will empower our organization to harness the full potential of AI, driving efficiency and innovation throughout our supply chain.

Your Tasks & Responsibilities:

• Ontology Design Take ownership of ontology design, semantic standards, and data interoperability to enhance data usability and integration.

• Cross-Functional Collaboration Partner closely with Data Management/BI and Data Engineering teams, while influencing Data Science and Statistics to ensure consistent and effective modeling practices.

• Governance & Standards Establish and enforce best practices for LLM operations, model lifecycle management, and ethical AI use to maintain compliance and quality.

• Innovation Leadership Continuously monitor emerging AI trends and translate insights into actionable, forward-thinking strategies.

Qualifications & Competencies (education, skills, experience):

• Generative AI (GenAI) Design and deploy generative models for predictive and prescriptive analytics, driving data-driven decision-making. Hands-on experience with frameworks for building agents and LLM-powered applications such as LangChain.

• LLM Operations Operationalize large language models to ensure scalable, secure, and efficient deployment within supply chain applications.

• LLM Fine-tuning Customize and fine-tune large language models for application in domain-specific scenarios. Experience with applying experiment-tracking tools (such as Opik or MlFlow) throughout the entire lifecycle of the model would be a plus.

• Python Develop and maintain robust data pipelines, analytics, and AI solutions to support strategic initiatives.

• Gemini Utilize multimodal AI capabilities to facilitate advanced decision-making and enhance operational outcomes.

• Cloud ML Platforms Use ML tooling and cloud providers such as AWS, GCP, and Azure.

• Data Warehousing Extract data from modern data warehouses such as Google bigquery for analytics. Provide feedback on warehouse infrastructure.

• Software Engineering Design and develop software in a collaborative environment using version control, project management, review, and QC tooling.

• Strong communication skills with proficiency in English (B2 level or higher)
• 5 to 7 years of relevant experience

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
• VIP Medical Care Package (including Dental & Mental health)
• Holiday allowance ("Wczasy pod gruszą")
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office
• Additional days off
• Budget for Home Office Setup & Maintenance
• 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
• Tailored-made support in relocation to Warsaw when needed
• Please 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: Warsaw
Division:
Crop Science
Reference Code:
859444

Location:

Warsaw

Division:

Crop Science

Reference Code:

859444