D|amp|T Machine Learning Engineer I

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 (RD 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 www.generalmills.com

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 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 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: DT Machine Learning Engineer I

General Mills, Digital and Technology India, is seeking a Machine Learning Systems Engineer to join the DT Global Data Science Organization. This team builds enterprise-level scalable and sustainable data and model 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. A key component of this will be exploring and implementing new tools and infrastructure as well as maintaining machine learning pipelines and advanced analytic solutions. You will work towards building scalable, resilient, and automated solutions on GCP (Google Cloud Platform) along with the exploration, implementation, and maintenance of third-party tools.

This role works in close collaboration with Data Scientists, ML Engineers, Service Engineers and Solutions Managers to support analytic consumption needs. It enables the rapid execution of projects in the development and production environment and enables the exploration of new complementary tools. Enhances the performance of the models and automates the production pipelines to gain efficiency.

The role will report to Manager- ML Engineering in India and functionally collaborate with the Global Data Science (GDS) team.

Role Responsibilities

As part of the team, you will be working as an ML Systems Engineer to operationalize key strategic ML models and analytic capabilities.

Cloud and Infrastructure Enablement
• End-to-end responsibility for operationalizing tools and processes including installation, maintenance, documentation, best practices, and training.
• Take responsibility for production infrastructure issues, perform root cause analysis, and recommend changes to reduce/eliminate re-occurrence of issues
• Ability to follow up with vendor partners/service providers in raising critical system issues, brainstorm on root causes, and follow up on timely remediation of such issues
• Collaborate and communicate across several teams.
• Solve problems and resolve issues across several teams and projects.
• Ownership of cloud security compliance.

ML Tooling exploration, Tooling, and Process improvements
• Support new tooling exploration for Cloud and ML tools including technical feasibility, and comparative analysis of ML capabilities between a 3rd party/open-source tool with cloud-native options.
• Support comprehensive tooling analysis and documentation
• Support and maintain CI/CD pipelines for ML models, applications, and tools.
• Support best practices and standards for ML pipelines and GCP services.
• Help improve ML pipeline documentation and understandability.
• Help harden code and processes to reduce or prevent failures.
• Improve logging and diagnostic processes.
• Accurately apply technical job knowledge and skills to complete all work on time with very high-quality deliverables following policies, procedures, and regulatory requirements

Research, Evolve, and publish best practices
• Research and operationalize technology and processes necessary to scale ML models
• Research and recommend changes to optimize cloud spend.
• Research and operationalize technology and processes necessary to scale ML models
• Improve ML pipeline documentation and understandability.

Communication and Collaboration
• Collaborate with technical teams like data scientists, data developers, ML Engineers, Solution architects and platform teams
• Knowledge sharing with the broader analytics team and stakeholders is essential
• Communicate on the on-goings to embrace the remote and cross geography culture
• Align the key priorities and focus areas
• Ability to communicate the accomplishments, failures, and risks in a timely manner

Embrace learning mindset
• Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetups

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 2+ years of professional experience as a software engineer, data scientist, or cloud infrastructure engineer.
• Proven experience researching and operationalizing tools and processes.
• Professional experience with a major cloud computing platform (Google Cloud Platform is preferred)
• 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.
• Experience in software version control team practices and tools such as GIT and TFS.
• Passion for learning new technologies and solving challenging problems.

Good to have skills
• Agile software development experience such as Kanban and Scrum.
• Strong understanding of Continuous Integration(CI), continuous Delivery(CD), Test-driven Development(TDD) and tools such as Jenkins or GitHub Actions.
• Strong understanding of orchestration frameworks such as Prefect or Airflow.
• Understanding of AI/ML lifecycle stages.
• Awareness of ML Ops and Model management concepts.
• Understanding of the Consumer Packaged Goods (CPG) industry
• Basic understanding of Data Build Tool (dbt)

Skill proficiency expectations

Expert level

Intermediate Level

Basic Level
• Comparative evaluation of Cloud/ML tools
• GCP Infra and Services
• Issue identification, root cause analysis
• Agile problem solving
• Jenkins/Github Actions
• Strong communication skills
• Software version control – Git and TFS
• Infrastructure as Code – Terraform
• Agile techniques
• Demonstrates teamworking skills
• Mentor others and lead best practices
• Very good documentation
• Tools operationalization
• AI/ML lifecycle stages and workflow
• CPG Domain
• Analytic toolset- dbt
• Agile software development (Kanban/Scrum)

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