D&T Machine Learning Engineer II (MLOps)
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 3, 2026. General Mills scores A on the Alion truth index.
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 innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.
KEY ACCOUNTABILITIES
Implement and supportend-to-end MLOps pipelinesusingGCP, Vertex AI, Airflow/Kubeflow, and related tools.
Build and maintainfeature engineering, deployment, monitoring, retraining, and CI/CD/CT pipelinesfor production ML solutions.
EnsureML model lifecycle management, including monitoring, performance optimization, and operational support.
Follow and recommendMLOps best practices, coding standards, version control, and technical documentation.
Collaborate withData Science, Data Engineering, Cloud Platform, and MLOps teamsto 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+ years of analytical experience with atleast 3+ years of experience inAI and Machine Learning
Technical Skills: Expertise in Data Transformation and Manipulation through Big-Query/SQL, professional experience with Vertex AI and GCP Services, Strong expertise in Python for designing and running ML pipelinesalong with Airflow/Cloud composer/Kubeflow Experience,Building and maintaining project specific custom containers.
Soft Skills: Strong communication skills both verbal and written including the ability to interacteffectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic experimentation.
PREFERRED QUALIFICATIONS
Google Cloud Platform Machine Learning (GCPML) certification
Understanding of the Consumer-Packaged Goods (CPG) industry
Strong understanding of Core Machine Learning Algorithms
ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.