Senior MLOps Engineer

Work Location: This position can be offered as hybrid from one of AGCO’s office locations or fully remote. Please indicate your preferred working arrangement (hybrid or remote) in your online application.  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. MLOps Engineer should focus on operations / operationalize the ML solution, monitoring infrastructure, observability, CI/CD.   Your Impact  MLOps Engineer should focus on operations / operationalize the ML solution, monitoring infrastructure, observability, CI/CD.  Design and implement robust, scalable MLOps pipelines to automate the end-to-end machine learning lifecycle—from training to deployment to monitoring. 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 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. Your Experience and Qualifications  Bachelor's degree in engineering in Computer Science or IT (Information Technology) or a related field 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  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