D&T Machine Learning Engineer II (MLOps)
General Mills (company site, opens in a new tab)6+ yrsMumbaiHybridDirect career pageEst. 20–40 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and implement end-to-end MLOps pipelines on GCP using Vertex AI, Airflow/Kubeflow for production ML solutions.
- Manage ML model lifecycle including deployment, monitoring, performance optimization, and retraining.
- Collaborate with cross-functional teams to ensure scalable, sustainable data and model pipelines and recommend automation improvements.
Minimum Requirements
- Bachelor’s degree (full time).
- 6+ years analytical experience with at least 3+ years in AI and Machine Learning.
- Proficiency in BigQuery/SQL, Python, Vertex AI, GCP Services, Airflow/Cloud Composer/Kubeflow, and building custom containers.
- Strong communication skills; passion for agile processes and data-driven development.
Ideal Candidate Profile
- Experience operating in cloud-based ML engineering environments specifically on GCP with Vertex AI and pipeline orchestration tools.
- Ability to work on scalable, enterprise-grade ML solutions involving multiple teams and technologies.
- Demonstrated expertise in ML model lifecycle management and automation of MLOps best practices and standards.