Sr DandT Machine Learning Engineer

General Mills; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

General Mills, Digital and Technology India, is seeking a senior Machine Learning Engineer to join the Enterprise Data Capabilities Organization. The role focuses on operationalizing ML/AI models, managing ML pipelines, and driving MLOps improvements on GCP.

You will design scalable ML architectures, implement CI/CD for ML, and collaborate with data teams to deliver production-ready solutions while mentoring teammates in best practices.

Qualifications

• Education: Bachelor’s degree (full-time).
• Experience: 6+ years in MLOps end-to-end framework and 10+ years total experience.
• Technical: Proficiency in Data Transformation with BigQuery/SQL, Vertex AI, and GCP services; Python or R; familiarity with Airflow/Cloud Composer, Kubernetes/Kubeflow, MLflow, TFX, Docker.

Responsibilities

• Design, develop, and maintain end-to-end MLOps pipelines using GCP, Vertex AI, Airflow, Kubeflow, and MLflow.
• Build and optimize data ingestion, transformation, deployment, monitoring, retraining, and CI/CD/CT pipelines for production ML solutions.
• Implement MLOps best practices, including version control, coding standards, workflow orchestration, and lifecycle management.
• Design scalable ML solution architectures and recommend technology stacks aligned with business and technical requirements.
• Provide production support, troubleshoot issues, perform root cause analysis, and drive continuous platform improvements.
• Mentor team members through code reviews, technical guidance, and knowledge-sharing on MLOps frameworks and best practices.
• Collaborate with Data Science, Data Engineering, Platform, and Business teams to deliver scalable ML solutions.
• Research and adopt emerging MLOps technologies and engineering best practices to drive innovation.

Skills

MLOps

GCP Vertex AI

Python

Airflow

Kubeflow

MLflow

Docker

TFX

BigQuery

Data Transformation

Education

Bachelor's degree

Tools

Vertex AI

Kubernetes

Kubeflow

Docker

Airflow

Cloud Composer

MLflow

TFX

GCP Services

BigQuery

Job description

Job Description:

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

Overview

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 impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, 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.

Key Accountabilities

• Design, develop, and maintain end-to-end MLOps pipelines using GCP, Vertex AI, Airflow, Kubeflow, and MLflow.
• Build and optimize data ingestion, transformation, deployment, monitoring, retraining, and CI/CD/CT pipelines for production ML solutions.
• Implement MLOps best practices, including version control, coding standards, workflow orchestration, and lifecycle management.
• Design scalable ML solution architectures and recommend technology stacks aligned with business and technical requirements.
• Provide production support, troubleshoot issues, perform root cause analysis, and drive continuous platform improvements.
• Mentor team members through code reviews, technical guidance, and knowledge-sharing on MLOps frameworks and best practices.
• Collaborate with Data Science, Data Engineering, Platform, and Business teams to deliver scalable ML solutions.
• Research, document, and adopt emerging MLOps technologies, architecture patterns, and engineering best practices to drive innovation.

Minimum Qualifications

• Education: Minimum qualification is Bachelor's degree (full time)
• Experience: Minimum 6+ yrs of professional experience in MLOps E2E framework and 10+ years of total experience
• Technical Skills: 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, Should have experience in Airflow/Cloud composer, Kubernetes/Kubeflow, MLflow, TFX,Docker -container
• Soft Skills: Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical. Passionate about agile software processes, data-driven development, reliability, and systematic

Preferred Qualifications

• GCP certification
• Understanding of CPG industry
• Basic understanding of DBT, AutoML Concept

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.