D&T Machine Learning Engineer II (Agentic Ai/MLOps)

General Mills, Inc.; Mumbai; Hybrid; INR 4,500,000 - 6,500,000; Full time

Job summary

General Mills, Digital and Technology India seeks a Machine Learning Engineer II to operationalize ML models and automate MLOps pipelines on GCP using Vertex AI, Airflow, and Kubeflow. You will own feature engineering, deployment, monitoring, and retraining for production ML solutions.

The role requires 6+ years of analytics experience with 3+ years in AI/ML, a Bachelor’s degree, and strong Python/SQL skills.

Qualifications

• Bachelor’s degree required; 6+ years analytics experience with 3+ years in AI/ML.
• Expertise with BigQuery/SQL and Vertex AI on GCP.
• Strong Python skills for ML pipelines and Airflow/Kubeflow.
• Excellent communication and collaboration across teams.

Responsibilities

• Implement and support end-to-end MLOps pipelines on GCP, Vertex AI, Airflow/Kubeflow.
• Build, deploy, monitor, and retrain ML pipelines for production use.
• Ensure ML lifecycle management, performance optimization, and ops support.
• Follow MLOps best practices, version control, and documentation.
• Collaborate with DS, DE, Cloud Platform, and MLOps teams to scale solutions.

Skills

Python ML pipelines

Airflow

Kubeflow

Cloud Composer

BigQuery/SQL

Vertex AI

GCP Services

Containers

Education

Bachelor's degree

Tools

Airflow

Kubeflow

Cloud Composer

Vertex AI

Job description

## D&T Machine Learning Engineer II (Agentic Ai/MLOps)應徵: 混合式辦公: Powai, Mumbai, MH: Pune, MH: 正職: 3 天前刊登: 10129339**公司概述**我們致力打造深受全世界喜愛的食物, 但我們所做的遠不止於此。 本公司一向重視正向力量,提供持續學習、探索新視角、重新構想新可能的環境。 我們尋找那些渴望展現最佳自我的人——那些擁有遠大抱負、敢於挑戰彼此、共同成長的思想者。 因為要成為食品領域無可爭議的領導者,就必須匯聚一群積極前瞻、追求突破的人才。**OVERVIEW**General Mills, Digital and Technology India, is seeking a Machine Learning Engineer II 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 and high-impact problem statements. In this role, you are a critical member of the data science team focused on operationalizing the ML and AI models, which entail 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*** Implement and support end-to-end MLOps pipelines using GCP, Vertex AI, Airflow/Kubeflow, and related tools.* Build and maintain feature engineering, deployment, monitoring, retraining, and CI/CD/CT pipelines for production ML solutions.* Ensure ML model lifecycle management, including monitoring, performance optimization, and operational support.* Follow and recommend MLOps best practices, coding standards, version control, and technical documentation.* Collaborate with Data Science, Data Engineering, Cloud Platform, and MLOps teams to deliver scalable ML solutions.* Communicate project progress, risks, and outcomes effectively while contributing to knowledge sharing across teams.* Continuously enhance technical expertise by adopting emerging MLOps technologies, tools, and best practices.**MINIMUM QUALIFICATIONS*** **Education:**Bachelor’s degree (full time)* **Experience:** Total 6+ years of analytical experience with atleast 3+ years of experience in AI and Machine Learning* **Technical Skills:**Expertise in Data Transformation and Manipulation through Big-Query/SQL, professional experience with Vertex AI and GCP Services, Strong expertise in Python for designing and running ML pipelines along with Airflow/Cloud composer/Kubeflow Experience, Building and maintaining project specific custom containers.* **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 experimentation.**PREFERRED QUALIFICATIONS*** Google Cloud Platform Machine Learning (GCPML) certification* Understanding of the Consumer-Packaged Goods (CPG) industry* Strong understanding of Core Machine Learning Algorithms**應徵資格**應徵者必須符合職缺所在國家/地區的最低年齡要求。