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Nigel Frank Internacional

Sr. IAM Engineer

Career Insights for Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$120,298 / year median in the U.S.

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Job Description

We are seeking an AI/ML Engineer specializing in ML Ops and LLM Ops to enhance our capabilities in leveraging Azure technologies for dynamic projects. In this role, you will develop, deploy, and maintain machine learning models, ensuring their effectiveness and seamless integration in real-world applications. The role demands a collaborative approach, working closely with cross-functional teams to deliver solutions that drive business impact.
  • Strong experience with Azure ML services and deployment strategies
  • Proficiency in Python and relevant ML libraries such as TensorFlow or PyTorch
  • Solid understanding of model lifecycle management and version control
  • Experience with continuous integration and delivery (CI/CD) practices
  • Familiarity with data preprocessing and feature engineering techniques This is a remote position that offers flexibility and the chance to contribute to innovative AI projects.
Core benefits include None. Apply now if you are eager to make a tangible impact in the field of machine learning.

Benefits

  • Dental Insurance