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MlOps Engineer

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Onsite

MlOps Engineer

Wits Innovation Lab

MlOps Engineer

Skills

Google Cloud PlatformDockerPythonJavaMachine LearningAWSKubernetesAzure

11 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

13 October 2026

What they need


We are looking for a highly skilled and experienced MLOps Engineer with 2 to 5 years of experience. The ideal candidate should have a B.Tech, .Tech, or .S. in Computer Science, Data Engineering, Artificial Intelligence, or a related discipline.

Roles and Responsibility

  • Design and implement scalable data pipelines using cloud-based technologies.
  • Collaborate with cross-functional teams to develop and deploy machine learning models.
  • Develop and maintain automated testing frameworks for machine learning models.
  • Troubleshoot and resolve issues related to model deployment and data quality.
  • Implement continuous integration and delivery pipelines for machine learning models.
  • Work closely with data engineers to design and implement data architectures.

Job Requirements

  • Strong understanding of machine learning concepts and algorithms.
  • Experience with cloud-based platforms such as AWS, Azure, or GCP.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with containerization using Docker and Kubernetes.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Certifications in cloud DevOps or MLOps platforms are desirable.
  • Contributions to MLOps, AIOps, or DevOps open-source projects are preferred.

About Company

Wits Innovation Lab is a leading research and development organization that focuses on creating innovative solutions for complex problems. We are committed to collaborating with cross-functional teams to drive business growth and improve customer experiences.

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