Senior MLOps Engineer

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.

As a Senior MLOps Engineer within the AI Platform Engineering team, you will help design, build, and scale the foundational capabilities that power AI across our enterprise. You’ll work at the intersection of machine learning, software engineering, and DevOps, enabling AI delivery teams to reliably develop, deploy, and monitor models in production.

Your Impact

Design and implement robust, scalable MLOps pipelines to automate the end-to-end machine learning lifecycle—from training to deployment to monitoring.

Collaborate with data scientists, ML engineers, and platform engineers to operationalize AI models across cloud and hybrid environments, ensuring performance, traceability, and reliability.

Build and maintain containerized training and inference environments, enabling reproducible ML workflows across projects and teams. Develop and optimize model CI / CD workflows using tools like GitHub Actions or Jenkins. Establish and monitor model observability metrics : latency, drift, data quality, and inference errors, across production pipelines.

Support the integration of ML models into a variety of deployment targets, including internal applications, APIs, business dashboards, and hardware platforms onboard agricultural machinery. Collaborate closely with enterprise architecture, BI engineering, and product engineering teams to ensure seamless deployment across cloud, edge, and embedded systems.

Serve as a technical mentor and contributor, helping define best practices around model deployment, monitoring, versioning, and rollback strategies. Drive adoption of the AI platform’s tools and services, incorporating their feedback into roadmap improvements. Continuously explore and evaluate emerging tools in the MLOps ecosystem, recommending innovative ways to increase velocity, visibility, and scalability

Your Experience and Qualifications

8+ years of experience in software, data, or ML engineering, including 5+ years in MLOps or operationalizing AI / ML workflows. Deep hands-on experience with Python, Spark / PySpark, SQL, and orchestration tools such as Airflow

Proven experience with public cloud platforms, preferably GCP (Vertex AI, GKE, Cloud Run) or AWS. Skilled in Databricks, FastAPI, and containerized environments using Docker, Kubernetes

Deep understanding of CI / CD pipelines, version control systems (e.g., Git), and infrastructure-as-code (Terraform)

Expertise with MLOps tools like MLflow, Kubeflow, or similar for model tracking, versioning, deployment, and monitoring. Proficient with model monitoring frameworks (e.g., Prometheus, Grafana) and implementing model drift, performance degradation, and rollback mechanisms

Demonstrated ability to contribute to roadmap execution, and deliver outcomes. Self-motivated, proactive, and comfortable working both independently and collaboratively across engineering, data science, and business teams. Strong communication and stakeholder engagement skills, with a focus on impact and execution

Your Benefits

​​GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique!

​ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.

​POSITIVE IMPACT – Make it personal and help us feed the world.

​INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm.

​MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option……….

Your Workplace

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

Join us as we bring agriculture into the future and apply now!