Senior ML Ops Engineer

General Mills; Pune District, Mumbai; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

General Mills seeks a senior MLOps engineer to design and maintain end-to-end pipelines on GCP, Vertex AI, Airflow, Kubeflow, and MLflow. You will build scalable data ingestion, transformation, deployment, monitoring, and retraining workflows for production ML solutions.

The role requires 6+ years in MLOps and 10+ years total experience, with strong Python/R skills and GCP expertise. Collaboration with cross-functional teams and mentoring junior engineers are key aspects of this position.

Qualifications

• Bachelor's degree required (full-time).
• 6+ years in MLOps with end-to-end experience; total 10+ years overall.
• Expertise with BigQuery/SQL and Vertex AI on GCP.
• Experience with Airflow/Kubeflow/MLflow/TFX and Docker/Kubernetes.
• Strong communication and collaboration across teams.
• GCP certification preferred.

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, document, and adopt emerging MLOps technologies, architecture patterns, and engineering best practices to drive innovation.

Skills

Strong communication

Team mentoring

Agile mindset

Education

Bachelor's degree (full-time)

Tools

BigQuery

SQL

Vertex AI

GCP Services

Airflow

Kubeflow

MLflow

TFX

Docker

Kubernetes

Cloud Composer

Python

R

Job description

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: Minimum6+ 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.