Job Description

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. About General MillsWe make food the world loves:100 brands. In 100 countries. Across six continents.With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H agen-Dazs, we\'ve been serving up food the world loves for 155 years (and counting).Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. The awards and recognition we\'ve received showcase our commitment to be a force for good:.World\'s Most Admired Companies, Fortune 2022.America\'s Most Responsible Companies, Newsweek 2022.100 Best Corporate Citizens, 3BL 2021.Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022.100 Best Companies, Seramount 2021.Diversity Best Practices Leading Inclusion Index, Seramount 2021.Best Companies for Dads, Seramount 2021.Best Companies for Multicultural Women, Seramount 2021.Top 10 Companies for Executive Women, Seramount 2021.Military Friendly Employer Bronze, VIQTORY 2021.Best Place to Work, Canada, Greater Toronto, 2021.Top 50 -India\'s Best Workplaces for Women, 2021 .Top Workplaces in Brazil, 2021.Asia\'s Best Workplaces, 2021Hungry for What\'s NextWe exist to make food the world loves, and it shows. Our passion for people, doing good and creatingdelicious food has energized us for over 150 years. Breaking away from the pack is how we win, so weneed your unique perspectives: your quirks, \'crazy\' ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We\'ve learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding-that only happens when you surround yourself with those who are hungry for what\'s next.For more details check out www.generalmills.com General Mills India CentreGeneral Mills India Centre(GIC) operates out of Mumbai and supports the global operations of General Mills. The centrewas established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabili ties, Research & Development.Digital and Technology teamDigital and Technologyis the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can be leveraged to bring efficiency and disruption. Be itAI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, BlockchainorEnterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our Millworksinitiative is where we bring the agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents. Our service partnerships and employee engagement are canteredon advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in \'Work with Heart\'. Work with Heart is focused on results, not Facetime. If you are passionate about the latest in technology and want to make an impact on the digital transformation journey of a Fortune 500 company, we\'re waiting for you.Job OverviewRole: ML Engr (Machine Learning Engineer-II)Location: Mumbai, HybrideligibleGeneral Mills, Digital and Technology India, is seeking Sr Machine LearningEngineerto join the Enterprise Data Capabilities Organization.This team builds enterprise-levelscalable 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 onoperationalizingthe ML and AI models, which entails 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. This capabilityisleveraged to fueladvanced AIsolutions, Machine LearningandDeep Learning.It is also responsible for implementing and enhancingcommunity of practice to determine the best practices, standards,and MLOps frameworksto efficiently delivery enterprisedata solutionsat General Mills.This role worksinclose collaboration with Data Scientists, Data Engineers, PlatformEngineersand Tech Expertiseto support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency. Role Responsibilities Implement MLOpspractices: .Implementation of end-to-endMLOps framework andMachine LearningPipelineusing GCP,Vertex AI and Software toolson the assigned project(s)..Development of feature engineering pipelines including config, ingestion and transformationof datafrommultiple sourceslike BigQuery,Dbt & Google cloud storage (GCS)etc.Setup Meta Data andDatastatistics curation usingGCP Bucket and ML Metadata (MLMD).Re-Training and Monitoring Pipelinesetup with multiple criteriaVertex AI.Development of Serving Pipeline with Vertex AI and GCP services .Resource and Infra Monitoringconfiguration and pipeline developmentusing GCP service..Automated pipeline Developmentfor Continuous Integration(CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-nativetool stack. .MLPipeline orchestrationand configurationusing Kubeflow..Development of DAGsand Workfloworchestration using airflow/cloud composer..Code refactorization& coding best practices implementation as per industry standard.Support the ML models throughout the E2E MLOps lifecycle from development to maintenance..Comprehensive documentation to support all stages of ML Ops implementation.Recommend any changes required to the existing MLOps practices Communicationand Collaboration:.Collaborate with technical teams like Data Science, Data Engineering,and Cloud Platforms, etc..Partnerwith the MLOps leads to ensure adoption and implementation of MLOpsbest practices..Knowledge sharing with the broader analytics team and stakeholders is essential..Active up-to-date Communication on the in-flight projects to embrace the remote and cross geography culture..Align the key priorities and focus areas..Ability to communicate accomplishments, failures,and risks in a timely manner.Embrace a learning mindset:.Continually invest in upskillingthrough formal training, reading, hands-on training, and attending conferences and meetupDocumentation:.DocumentMLOpsProcess, Development, Architecture & Innovation etcandbe instrumental in reviewing the same for other team members. Must -have technical skillsand experience .Expertise and at least 3yearsof professional experience in MLOps E2E framework .Expertise inData Transformation and Manipulation through Big-Query/SQL .Professional experience with Vertex AIand GCP Services .Expertise in one of the programming LanguagePython/R .Airflow/Cloud composerExperience .Kubernetes/Kubeflow Experience.MLflow Professional experience .TFX Professional experience.Docker -container Experience .At least 5years of professional experience in Data Scienceand related fields .Strong communication skills both verbal and written 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. Good to have skills. Google Cloud Platform (GCP)certification. Understanding of the Consumer-PackagedGoods (CPG)industry .Basic understanding of dbt. .Understanding of AutoML Concept, preferably on GCP .Understanding of Core Machine Learning Algorithms.Deep Learning-Concept of Algorithms .Time Series Analysis-Concept of AlgorithmsSkill proficiency expectations. Expert level Intermediate Level Basic Level .ML OpsE2E framework.Big Query/SQL .Python / R .Vertex AI and GCP Services .Docker-Container .Kubeflow/Kubernetes .TFX.Airflow .MLflow .GitHub .Strong communication skills Machine LearningandDeep Learningalgorithms.ML lifecycle stages including Model training, deployment, monitoring etc. .Agile techniques.Demonstrates teamworking skills..Mentor others and lead best practices..Micro Services concept.Power BI, Tableau, Looker Good to havedomainknowledge:Consumer Packed Goods industry and data sources.Analytic toolset-dbt, atscale, neo4j, Atlassian

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