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AI/ML Deployment Specialist

1 week ago

Anywhere in IndiaMultiple Locations Wenger and Watson Full time

At Wenger and Watson, we are dedicated to harnessing the power of AI to drive innovation. As a Senior MLOps Engineer, you will be part of a dynamic team that deploys cutting-edge AI solutions.

Key Responsibilities

  • Develop and maintain the infrastructure for deploying machine learning models.
  • Work closely with Data Scientists to operationalize machine learning workflows.
  • Implement automated testing and validation processes for machine learning pipelines.
  • Ensure the scalability and reliability of machine learning systems.

Requirements

  • 4-12 years of experience building production-quality software.
  • Strong experience in System Integration, Application Development, or Data Warehouse projects.
  • BASIC knowledge of MLOps, machine learning, and Docker.
  • Experience with Object-Oriented languages (Python, PySpark, Java, C#, C++).
  • Familiarity with Database programming using SQL.
  • Knowledge of Git for Source Code Management.
  • Ability to collaborate effectively with technical resources.
  • Foundational Knowledge of Cloud Computing (AWS, Azure, GCP).