Machine Learning Engineer- II

General Mills

General Mills

Software Engineering
Mumbai, Maharashtra, India · India
Posted on Monday, April 24, 2023

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.

Shift Timings: 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 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, 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

General Mills India Centre

General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center 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 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 MillsWorks initiative is where we bring 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 centred 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: Machine Learning Engineer- II
Location: Mumbai

General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer 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 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 capability is leveraged to fuel advanced AI solutions, Machine Learning and Deep Learning. It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills.

This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency.

Role Responsibilities

Implement MLOps practices:
• Implementation of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools on the assigned project(s).
• Development of feature engineering pipelines including config, ingestion and transformation of data from multiple sources like BigQuery, Dbt & Google cloud storage (GCS) etc
• Setup Meta Data and Data statistics curation using GCP Bucket and ML Metadata (MLMD)
• Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI
• Development of Serving Pipeline with Vertex AI and GCP services
• Resource and Infra Monitoring configuration and pipeline development using GCP service.
• Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool stack.
• ML Pipeline orchestration and configuration using Kubeflow.
• 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.

Recommend any changes required to the existing MLOps practices Communication and Collaboration:

• Collaborate with technical teams like Data Science, Data Engineering, and Cloud Platforms, etc.
• Partner with the MLOps 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 conferences and meetup

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

Must - have technical skills and experience

• Expertise and at least 3 years of professional experience in MLOps E2E framework
• Expertise in Data Transformation and Manipulation through Big-Query/SQL
• Professional experience with Vertex AI and GCP Services
• Expertise in one of the programming Language Python/R

• Airflow/Cloud composer Experience
• Kubernetes/Kubeflow Experience
• MLflow Professional experience
• TFX Professional experience
• Docker -container Experience
• At least 5 years of professional experience in Data Science and 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-Packaged Goods (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 Algorithms

Skill proficiency expectations

Expert level

Intermediate Level

Basic Level

• ML Ops E2E framework
• Big Query/SQL
• Python / R
• Vertex AI and GCP Services
• Docker-Container
• Kubeflow/Kubernetes
• Airflow
• MLflow
• GitHub
• Strong communication skills
• Machine Learning and Deep Learning algorithms
• 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 have domain knowledge: Consumer Packed Goods industry and data sources
• Analytic toolset- dbt, atscale, neo4j, Atlassian


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 other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.