D&T Machine Learning Engineer I

Position Title

D&T Machine Learning Engineer I

Function/Group

Digital and Technology

Country

India

Location:

Mumbai

Role Reports To

D&T Manager – ML Engineering

Geographical Scope of the Role - Location:

Global

Percentage Of Travel Required

1% International

Remote/Hybrid/in- Office

Hybrid

On-call Required

Yes

Shift

Regular

About General Mills

We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-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 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, 2021
  
  

Hungry For What’s Next

We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need 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 Centre

General Mills India Centre (GIC) operates out of Mumbai and supports the global operations of General Mills. The centre was 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 Capabilities, Research & Development.

Digital and Technology team

Digital and Technology is 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 it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our Millworks initiative 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 centered on 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 Overview

Role: D&T Machine Learning Engineer I

General Mills, Digital and Technology India, is seeking a Machine Learning Engineer to join the D&T Global Data Science Organization. This team builds enterprise-level scalable and sustainable data and AI pipelines to serve the analytic needs of business-impacting problem statements, maintains cloud platforms, and explores new complementary tooling for Data Science and ML requirements.

In this role, you are a critical member of the data science team focused on leading efforts in adopting and enhancing analytic capabilities in the machine learning and cloud space. You will be working closely with Data Science and Business teams to build scalable AI pipelines to deploy and run the AI solutions in the cloud. You will work towards building scalable, resilient, and automated solutions on GCP (Google Cloud Platform) along with the adoption of AI/ML best practices, coding standards and ensuring cost optimized model runs in production.

This role works in close collaboration with Data Scientists, ML Engineers, Service Engineers and Solutions Managers to support AI solutioning working in Agile Pods. There is also an opportunity to participate in exploration of new AI/ML capabilities in Core AI and Generative AI including Agentic AI workflows as part of different AI capability development workstreams.

Role Responsibilities

Implement MLOps practices:

• Implementation of end-to-end MLOps framework (Millsflow) and Machine Learning Pipeline leveraging GCP, Vertex AI, Kubeflow and Software tools on the assigned project(s).
• Development, periodic execution, and maintenance of feature engineering pipelines including data from various sources using tools like Google BigQuery, Google cloud storage (GCS), Dbt etc.
• Development of Serving Pipeline with Vertex AI and GCP services. Set up customized re-training and monitoring pipelines according to AI solution needs.
• Adherence to proper version controlling, testing framework, peer reviews and CI/CD
• Resource and Infra Monitoring configuration and pipeline development using GCP service.
• Build and maintain custom containers for deploying solutions in different cloud environments.
• Development of DAGs and Workflow orchestration 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.
• Collaborate and communicate with different stakeholders. Solve problems and resolve production issues in close alignment with other teams.
  
  

Focus On Strong Communication And Collaboration

• Collaborate with technical teams like Data Science, Data Engineering, and Cloud Platforms, etc.
• Alignment with MLE Domain Leads to ensure adoption and implementation of MLOps best 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 upskilling through formal training, reading, hands-on training, and attending internal workshops and hackathons
• Participate in the exploration of new ML Ops tooling for enabling the same in productionized AI solutions.
  
  

Documentation

• Document MLOps Process, Development, Architecture & Innovation etc. and be instrumental in reviewing the same for other team members.
  
  

Must - Have Technical Skills And Experience

• An advanced degree in a quantitative field (Computer Science, engineering, statistics, math, data science) is preferred, bachelor’s degree is required.
• A total experience of 3+ years of professional experience as a software engineer, data scientist, Data Engineer, or cloud infrastructure engineer.
• Expertise in Data Transformation and Manipulation through Big Query/SQL
• Professional experience with Vertex AI and Google Cloud Platform services
• Strong expertise in Python for Data Analysis and Machine Learning
• Professional experience with a major cloud computing platform (Google Cloud Platform is preferred)
• Passion for learning innovative technologies and solving challenging problems.
• 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.
  
  

Good To Have Skills

• Google Cloud Platform (GCP) certification
• Understanding of the Consumer-Packaged Goods (CPG) industry
• Understanding of Core Machine Learning Algorithms
• Understanding of AI/ML lifecycle stages.
• Basic understanding of Data Build Tool (dbt)
• Experience with Software Version Control and CI/CD (Github Actions)
• Exposure to Generative AI and Agentic AI tooling/frameworks
  
  

Skill proficiency expectations

Expert level

Intermediate Level

Basic Level

• Big Query/SQL
• Python
• Vertex AI and GCP Services
• Airflow/Composer
• GitHub
• Strong communication skills
• Machine Learning algorithms
• ML lifecycle stages including Model training, deployment, monitoring etc.
• Agile techniques
• Demonstrates teamworking skills.
• Good to have domain knowledge: Consumer Packed Goods industry and data sources.
• Analytic toolset- dbt
• Generative AI
• Agentic AI