COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​
OVERVIEW
General Mills, Digital and Technology India, is seeking a Machine Learning Engineer II to join the Enterprise Data Capabilities Organization. This team builds enterprise-level scalable and sustainable data and model pipelines to serve the analytic needs of business and high-impact problem statements. In this role, you are a critical member of the data science team focused on operationalizing the ML and AI models, which entail model management and monitoring too. The success is to recommend cutting-edge ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.




KEY ACCOUNTABILITIES
Implement and support end-to-end MLOps pipelines using GCP, Vertex AI, Airflow/Kubeflow, and related tools.
Build and maintain feature engineering, deployment, monitoring, retraining, and CI/CD/CT pipelines for production ML solutions.
Ensure ML model lifecycle management, including monitoring, performance optimization, and operational support.
Follow and recommend MLOps best practices, coding standards, version control, and technical documentation.
Collaborate with Data Science, Data Engineering, Cloud Platform, and MLOps teams to deliver scalable ML solutions.
Communicate project progress, risks, and outcomes effectively while contributing to knowledge sharing across teams.
Continuously enhance technical expertise by adopting emerging MLOps technologies, tools, and best practices.
MINIMUM QUALIFICATIONS
Education: Bachelor’s degree (full time)
Experience: Total 6+

📌 Machine Learning Engineer II (Pune)
🏢 通用磨坊股份有限公司
📍 Pune