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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer - Remote Eligible - **Company:** General Mills - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Agile Methodology, Artificial Intelligence, Machine Learning, Microsoft Office, Data Logging, Random Forest, Information Technology, Data Analytics, Machine Learning Operations - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8ef7e122c714d58d ## About the Role * K nowledge of project /program management terminology /concepts and the ability to leverage this knowledge to ensure the success of initiatives. * 4 + years professional experience as a software engineer , data scientist , or AI Engineer . * Strong background in statistical modeling including ARIMA, regression, and Random Forest models. * Background in optimization problems is strongly preferred. * Track record of producing machine learning models and agentic solutions at scale . * Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities . * Passionate about agile software processes, data-driven development, reliability, and systematic experimentation. * Passion for learning new technologies and solving challenging problems . * Bachelors Degree * Comfort working with a Windows computer and Microsoft Office Suite * Comfort working with international partners and potentially flexing your calendar to meet the time zone needs., * Bachelors Degree in Computer Science, Engineering, IT or other related fields * 7+ years of related experience as a software engineer, data scientist or AI Engineer * Experience with deep code or custom code agentic frameworks (LangChain or LangGraph) * Experience productionizing Optimization Models * Experience with factory systems * Experience with real-time pipelines ADDITIONAL CONSIDERATIONS: * We are open to remote employees within the United States with a preference for talent in the Minneapolis market. * International relocation or international remote working arrangements (outside of the US) will not be considered. * Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas. ## Description As a Lead ML Engineer, you will play a pivotal role in the overall success of high-priority projects including: * Lead ing complex machine learning and agentic projects involving multiple resources including full accountability for stakeholder management and expectation setting , project scoping and planning, requirements elicitation, and overall project success while adhering to timeline/resource constraints. Crucially, having the ability to provide stakeholders with a range of options for solving a stated business problem is needed. * Playing a key role in investigating, utilizing, and advocating for the use of generative and agentic tools to enhance the effectiveness of your team . * Ability to effectively integrate an AI solution into a larger, complex system potentially comprising many third-party applications within the General Mills ecosystem. * Research and operationalize technology and processes necessary to scale ML models and agentic solutions. * Recommend model changes to optimize cloud spend. * Automate monitoring of models both for failures and degradation . * Automate monitoring of data sources to identify issues and/or data changes. * Automate ML pipelines, logging of model usage, and predictions provided. * Improve ML pipeline documentation and understandability. * Harden code and processes to reduce or prevent failures. * Improve logging and diagnostic processes . * Lead the investigation and resolution of production issues, perform root cause analysis, and recommend changes to reduce/eliminate re-occurrence of issues. * Optimize deployment and change control processes for models. * Create and operationalize quality assurance processes for ML models. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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