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
Robust 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.
Solid 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 cutting-edge solutions for complex problems. We are committed to collaborating with cross-functional teams to drive business growth and improve customer experiences.