Cloud-Native ML Engineer

5 days ago


Anywhere in IndiaMultiple Locations Wenger and Watson Full time

We are looking for a highly skilled MLOps Engineer to join our team at Wenger and Watson. As a key member of our AI/ML group, you will work on designing and implementing end-to-end machine learning pipelines.

Job Requirements

  • Design and implement scalable machine learning architectures.
  • Develop automated testing and validation frameworks for machine learning models.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
  • Contribute to the development of best practices for machine learning engineering.

Qualifications

  • Strong background in software development and system integration.
  • Experience with cloud-native technologies and containerization.
  • Proficiency in Object-Oriented languages and database management systems.
  • Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) methodologies.


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