Date Aug 30 2025 Req ID 101661 Location Pune MH IN Workplace Type Hybrid Remote 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 - Perks 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 Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities duties responsibilities or benefits and may change at any time with or without notice AGCO is proud to be an Equal Opportunity Employer Job Segment Cloud Embedded Information Technology IT Architecture Manufacturing Engineer Technology Engineering