AI​/ML 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’.

• Design, build, and operate end-to-end AI/ML and agent-based systems, from problem definition and model development to production deployment, monitoring, and continuous improvement to solve business problems.
• Focus on simulating human learning activities, improving system performance through data analysis, and developing deep learning frameworks and systems.
• Collaborate with data engineers to build robust data pipelines and ensure high-quality training data.
• Design scalable, reliable services on major cloud platforms; ensure strong CI/CD, observability, and operational excellence.
• Translate customer requirements to business solutions using data pipelines and statistical models.
• Build and maintain scalable ML infrastructure, including training pipelines, feature stores, and model serving systems.
• Contribute to MLOps best practices, including CI/CD for ML, model versioning, and A/B testing frameworks.
• Create exploratory analysis, model design & training, validation, feature engineering, and production handoff to drive business optimization.
• Construct, study, and train algorithms that learn from complex, high-dimensional data to uncover patterns and develop practical predictive models and applications.
• Document architectures, experiments, and results clearly for technical and non-technical stakeholders to support current work and any retraining for the future.
• Engineer data, model, and agent pipelines (e.g., workflow orchestration, model lifecycle management, automated retraining/rollouts).
• Orchestrate and integrate across components (agent frameworks, containers, web services/APIs, distributed systems).

• BA/BS degree in Computer Science + 8 years hands‑on experience designing, building, deploying, and maintaining end‑to‑end or related field OR 15+ years’ experience in data engineering or related field.
• Experience with AI/ML systems in production environments; solid knowledge of backend system design, APIs, CI/CD pipelines, agent‑based workflows, and production support for scalable AI/ML platforms.
• Fluency in multiple coding languages including SQL, Python, and ML frameworks.
• Demonstrated ability to coalesce group thinking into definable projects and hold team members accountable for their responsibilities.
• History of meeting tight deadlines and providing accurate estimates of time required to complete complex tasks.
• Experience building and deploying production ML systems using ML algorithms, deep learning, and statistical modeling.
• Strong problem‑solving and analytical thinking.
• Effective communication with both technical and non‑technical audiences.
• Comfort with ambiguity and a bias toward experimentation.

• Fluency in AWS, GCP, Gemini, and Copilot, including containerization technologies and orchestration tools.
• Advanced Excel skills.

This role offers a salary range of $117k–$171k with potential bonus or incentive compensation. Additional benefits include health care, vision, dental, retirement, paid time off, and sick leave.

Bayer is an Equal Opportunity Employer/Disabled/Veterans. Bayer is an E-Verify Employer.