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: Minimum 6+ yrs of skilled experience in MLOps E2E framework and 10+ years of total experience

Technical Skills: Expertise in Data Transformation and Manipulation through Big-Query/SQL, Qualified 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: Solid 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.

📌 Senior Ml Ops Engineer Pune
🏢 General Mills
📍 Pune