Machine Learning Operations Engineer
2 weeks ago
Job Overview
PepsiCo seeks a seasoned Data Engineering Lead - AI/ML to spearhead the development and deployment of AI/ML pipelines, focusing on machine learning lifecycle management. This role will be a key technical expert in the data & analytics team, driving innovation and efficiency in data product build & operations.
Key Responsibilities:
- Design, build, and maintain large-scale MLOps pipelines in cloud environments, utilizing Azure DevOps and Azure Data Factory.
- Streamline Machine Learning project development and deployment cycles.
- Implement scalable solutions for data scientists to deploy ML models and monitor their health on a multi-tenant platform.
- Develop and integrate MLOps features, such as Azure DevOps Pipelines, Azure Data Factory, and Synapse.
- Collaborate with cross-functional teams to create tools, processes, and workflows that enhance data scientist productivity.
- Participate in the entire Machine Learning lifecycle, including code deployment to various environments, CI/CD integration, performance monitoring, and change management.
Qualifications:
- Bachelor's degree in Computer Science, MIS, Business Management, or related field.
- Minimum 3+ years of cloud experience, with a preference for Azure.
- Proficiency in Python and PySpark programming in Databricks environments.
- Experience with complex SQL and ML model serving technologies like Kubeflow Serving and MLFlow.
- Knowledge of common data science frameworks (Pandas, Numpy, Scikit-learn, Tensorflow).
- Experience in creating Azure Data Factory and Azure DevOps Pipelines.
- Strong communication and collaboration skills, with experience working in a matrix organization and with diverse priorities.
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