ML Ops Engineer
VirtualVocationsChula Vista, California, United Statesjob_description.job_card.variable_days_ago
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A company is looking for an ML Ops Engineer.
Key Responsibilities
Develop machine learning algorithms, models, and data pipelines for digital and linear advertising
Deploy ML models using AWS services and ensure model governance and drift measurement
Collaborate with data engineers and scientists to create scalable and reliable data science workflows
Required Qualifications
Master's degree in Computer Science, Statistics, Data Science, Analytics, or a related field
One year of experience in developing ML algorithms and data pipelines using Keras, TensorFlow, and Python
Experience deploying ML models using AWS services like EMR and Sagemaker
Familiarity with CI / CD pipelines for ML use cases using Terraform and Github
Experience using the Databricks platform for data analytics and creating feature stores
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Ml Engineer • Chula Vista, California, United States
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