ML Ops Engineer Role (Hybrid - San Antonio, TX) Job at ExcelSoft, San Antonio, TX

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  • ExcelSoft
  • San Antonio, TX

Job Description

Role Description

This is a full-time hybrid role as an ML Ops Engineer with expertise in SageMaker or MRM , based in San Antonio, TX . As an ML Ops Engineer, you will be responsible for managing the machine learning lifecycle, with a focus on deploying, optimizing, and monitoring models using AWS SageMaker or MRM . You will collaborate with data scientists, ML engineers, and IT professionals to ensure that machine learning models are seamlessly integrated into production systems and perform at scale.

Qualifications

  • Strong expertise in AWS SageMaker or MRM .
  • Proficiency in programming languages such as Python , Java , or Scala .
  • Experience with ML frameworks like TensorFlow , PyTorch , or scikit-learn .
  • Knowledge of cloud platforms, especially AWS (SageMaker), and cloud deployment strategies.
  • Familiarity with containerization tools such as Docker and Kubernetes .
  • Experience in building and maintaining CI/CD pipelines for ML models.
  • Strong understanding of data management, engineering concepts, and MLOps best practices.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Bachelor's degree in Computer Science , Engineering , or a related field.

Job Tags

Full time,

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