Machine Learning Engineer II (MLOps/Agentic Ai)

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

ELIGIBILITY

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