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MachineLearning Engineer

  • Full Time, onsite
  • Enternet Business Systems, Inc.
  • Remote, United States of America
Salary undisclosed

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Title: Machine LearningEngineer

Duration: Long term

Location: Remote

No H1Bs

Job Description:

Machine Learning Engineer having 5+yrs of exp. with deep expertise in MLOps. The ideal candidate will have a strong background in machine learning, hands-on experience with MLOps pipelines, and proficiency with cloud platforms such as Azure or AWS. Experience with Generative AI (GenAI) is a plus.

Key Responsibilities:

  • Design, develop, and deploy machinelearningmodels and MLOps pipelines.
  • Implement CI/CD for ML models, ensuring seamless integration and delivery.
  • Collaborate with data scientists and DevOps teams to optimize ML workflows.
  • Manage cloud infrastructure on Azure or AWS, ensuring scalability and performance.
  • Contribute to projects involving Generative AI (GenAI) when applicable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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