Machine Learning Operations Engineer

2 weeks ago


Hyderabad, Telangana, India PepsiCo Full time

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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