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
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Design, develop, and maintain end-to-end MLOps pipelines using GCP, Vertex AI, Airflow, Kubeflow, and MLflow.
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Build and optimize data ingestion, transformation, deployment, monitoring, retraining, and CI/CD/CT pipelines for production ML solutions.
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Implement MLOps best practices, including version control, coding standards, workflow orchestration, and lifecycle management.
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Design scalable ML solution architectures and recommend technology stacks aligned with business and technical requirements.
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Provide production support, troubleshoot issues, perform root cause analysis, and drive continuous platform improvements.
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Mentor team members through code reviews, technical guidance, and knowledge-sharing on MLOps frameworks and best practices.
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Collaborate with Data Science, Data Engineering, Platform, and Business teams to deliver scalable ML solutions.
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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
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GCP certification
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Understanding of CPG industry
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Basic understanding of DBT, AutoML Concept
ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.
